| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/ml/GuyonWBV02 |
| P6179 | Dimensions Publication ID | 1048573168 |
| P356 | DOI | 10.1023/A:1012487302797 |
| P894 | zbMATH Open document ID | 0998.68111 |
| P50 | author | Vladimir Vapnik | Q983367 |
| Jason Weston | Q24698626 | ||
| Isabelle Guyon | Q44651389 | ||
| P2093 | author name string | Stephen Barnhill | |
| P4510 | describes a project that uses | support vector machine | Q282453 |
| P433 | issue | 1/3 | |
| P921 | main subject | support vector machine | Q282453 |
| P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
| P304 | page(s) | 389-422 | |
| P577 | publication date | 2002-01-01 | |
| P1433 | published in | Machine Learning | Q6723676 |
| P1476 | title | Gene Selection for Cancer Classification using Support Vector Machines | |
| P478 | volume | 46 |
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| Q53347361 | Gene expression profiling of CD34+ cells identifies a molecular signature of chronic myeloid leukemia blast crisis |
| Q40321847 | Gene expression signature of primary imatinib-resistant chronic myeloid leukemia patients |
| Q31156397 | Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data |
| Q34173671 | Gene selection and classification for cancer microarray data based on machine learning and similarity measures |
| Q30948171 | Gene selection and classification from microarray data using kernel machine |
| Q36100658 | Gene selection for cancer classification with the help of bees |
| Q47285123 | Gene selection for microarray data classification via subspace learning and manifold regularization. |
| Q44863759 | Gene selection using support vector machines with non-convex penalty |
| Q30916881 | Genetic programming based ensemble system for microarray data classification |
| Q110949659 | Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles |
| Q24289409 | Genetics of the connectome |
| Q36707560 | Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis |
| Q36106859 | Genome-wide polycomb target gene prediction in Drosophila melanogaster |
| Q36091088 | Global transcriptional analysis of primitive thymocytes reveals accelerated dynamics of T cell specification in fetal stages |
| Q42028224 | Glycated lysine-141 in haptoglobin improves the diagnostic accuracy for type 2 diabetes mellitus in combination with glycated hemoglobin HbA1c and fasting plasma glucose |
| Q34276961 | Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes |
| Q58751564 | GraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge |
| Q94566562 | Hepatic molecular signatures highlight the sexual dimorphism of Non-Alcoholic SteatoHepatitis (NASH) |
| Q50631658 | Hick-Hyman Law is Mediated by the Cognitive Control Network in the Brain |
| Q33983021 | Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures |
| Q39023264 | High-Dimensional Profiling for Computational Diagnosis |
| Q24628867 | High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables |
| Q35918124 | Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism |
| Q33697992 | Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depression |
| Q91940237 | Hippocampal connectivity in the aftermath of acute social stress |
| Q64065478 | Host Taxon Predictor - A Tool for Predicting Taxon of the Host of a Newly Discovered Virus |
| Q28552355 | Humoral Dysregulation Associated with Increased Systemic Inflammation among Injection Heroin Users |
| Q48367011 | Hybrid huberized support vector machines for microarray classification and gene selection |
| Q42286560 | Identification of "BRAF-Positive" Cases Based on Whole-Slide Image Analysis |
| Q47291442 | Identification of Disease Critical Genes Using Collective Meta-heuristic Approaches: An Application to Preeclampsia |
| Q35777081 | Identification of Gene-Expression Signatures and Protein Markers for Breast Cancer Grading and Staging |
| Q58957585 | Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection |
| Q51912224 | Identification of SNP interactions using logic regression |
| Q28476766 | Identification of Single- and Multiple-Class Specific Signature Genes from Gene Expression Profiles by Group Marker Index |
| Q35108376 | Identification of a 251 gene expression signature that can accurately detect M. tuberculosis in patients with and without HIV co-infection |
| Q28475736 | Identification of a kinase profile that predicts chromosome damage induced by small molecule kinase inhibitors |
| Q47665108 | Identification of a small set of plasma signalling proteins using neural network for prediction of Alzheimer's disease |
| Q33804373 | Identification of disease-causing genes using microarray data mining and Gene Ontology |
| Q41011537 | Identification of drug-induced toxicity biomarkers for treatment determination |
| Q51318147 | Identification of recurrence-related genes by integrating microRNA and gene expression profiling of gastric cancer |
| Q56989667 | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net |
| Q38498976 | Identifying high-dimensional biomarkers for personalized medicine via variable importance ranking |
| Q35218961 | Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity |
| Q30965908 | Identifying network biomarkers based on protein-protein interactions and expression data |
| Q31038202 | Identifying network-based biomarkers of complex diseases from high-throughput data |
| Q44661840 | Identifying relevant group of miRNAs in cancer using fuzzy mutual information |
| Q99371201 | Identifying the RNA signatures of coronary artery disease from combined lncRNA and mRNA expression profiles |
| Q80078371 | Image-based multivariate profiling of drug responses from single cells |
| Q31126986 | Immune-Signatures for Lung Cancer Diagnostics: Evaluation of Protein Microarray Data Normalization Strategies |
| Q37088522 | Improved Sparse Multi-Class SVM and Its Application for Gene Selection in Cancer Classification |
| Q42367541 | Improved detection of DNA-binding proteins via compression technology on PSSM information. |
| Q114866649 | Improved metabolite identification with MIDAS and MAGMa through MS/MS spectral dataset-driven parameter optimization |
| Q33784190 | Improving Cancer Classification Accuracy Using Gene Pairs |
| Q34475554 | Improving accuracy for cancer classification with a new algorithm for genes selection |
| Q45957691 | Improving enzyme regulatory protein classification by means of SVM-RFE feature selection. |
| Q33193520 | Improving reliability of gene selection from microarray functional genomics data |
| Q39230904 | In-silico drug screening and potential target identification for hepatocellular carcinoma using Support Vector Machines based on drug screening result |
| Q59309941 | Increasing the Detection of Minority Class Instances in Financial Statement Fraud |
| Q36066670 | Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers |
| Q33613740 | Inferring eye position from populations of lateral intraparietal neurons |
| Q48155512 | Influence of Resting-State Network on Lateralization of Functional Connectivity in Mesial Temporal Lobe Epilepsy |
| Q38799789 | Informatics for Metabolomics |
| Q30782019 | Information content and analysis methods for multi-modal high-throughput biomedical data. |
| Q34032945 | Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions |
| Q98153864 | Insecure attachment and maladaptive emotion regulation mediating the relationship between childhood trauma and borderline personality features |
| Q48198752 | Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients |
| Q34625338 | Integrative Analysis Using Module-Guided Random Forests Reveals Correlated Genetic Factors Related to Mouse Weight |
| Q38822857 | Inter-laboratory study of human in vitro toxicogenomics-based tests as alternative methods for evaluating chemical carcinogenicity: a bioinformatics perspective |
| Q35637392 | InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. |
| Q30560970 | Interaction-based feature selection and classification for high-dimensional biological data |
| Q36082277 | Interpretable per case weighted ensemble method for cancer associations |
| Q28728670 | Interpretation and visualization of non-linear data fusion in kernel space: study on metabolomic characterization of progression of multiple sclerosis |
| Q38850045 | Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches |
| Q31116010 | Iterative ensemble feature selection for multiclass classification of imbalanced microarray data |
| Q34560138 | Joint Analysis for Integrating Two Related Studies of Different Data Types and Different Study Designs Using Hierarchical Modeling Approaches |
| Q36362617 | Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction. |
| Q28299740 | Key aspects of analyzing microarray gene-expression data |
| Q33557718 | Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types |
| Q33748676 | LC-MS Data Analysis for Differential Protein Expression Detection |
| Q35812050 | LC-MS/MS-based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma. |
| Q30978503 | LS Bound based gene selection for DNA microarray data |
| Q38902128 | Large-scale image-based screening and profiling of cellular phenotypes. |
| Q59193754 | Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes |
| Q58759024 | Learning Theory: From Regression to Classification |
| Q57922004 | Learning the coordinate gradients |
| Q57527070 | Learning wind fields with multiple kernels |
| Q34073934 | Least-Squares Support Vector Machine Approach to Viral Replication Origin Prediction |
| Q47622923 | Left medial orbitofrontal cortex volume correlates with skydive-elicited euphoric experience |
| Q51602287 | Leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients. |
| Q45106953 | Lex-SVM: exploring the potential of exon expression profiling for disease classification |
| Q33671589 | Lipidome determinants of maximal lifespan in mammals |
| Q37339704 | Lipidomic Profiling of Lung Pleural Effusion Identifies Unique Metabotype for EGFR Mutants in Non-Small Cell Lung Cancer |
| Q95511539 | Local-learning-based neuron selection for grasping gesture prediction in motor brain machine interfaces |
| Q36380282 | Logic minimization and rule extraction for identification of functional sites in molecular sequences |
| Q37678947 | Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning |
| Q30366393 | Looking inside the Ocean: Toward an Autonomous Imaging System for Monitoring Gelatinous Zooplankton. |
| Q37632064 | MACT: a manageable minimization allocation system |
| Q35133977 | MANIA-a pattern classification toolbox for neuroimaging data. |
| Q36278167 | MAPanalyzer: a novel online tool for analyzing microtubule-associated proteins |
| Q36292006 | MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms |
| Q50992683 | MRS measured fatty acid composition of periprostatic adipose tissue correlates with pathological measures of prostate cancer aggressiveness |
| Q31112287 | MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data |
| Q58887349 | Machine Learning Applied to Optometry Data |
| Q44963995 | Machine Learning Methods Predict Locomotor Response to MK-801 in Mouse Models of Down Syndrome |
| Q58612356 | Machine Learning Reveals Protein Signatures in CSF and Plasma Fluids of Clinical Value for ALS |
| Q26849782 | Machine Learning for High-Throughput Stress Phenotyping in Plants |
| Q41204513 | Machine Learning-Assisted Network Inference Approach to Identify a New Class of Genes that Coordinate the Functionality of Cancer Networks |
| Q36103868 | Machine learning algorithms to classify spinal muscular atrophy subtypes |
| Q38636061 | Machine learning applications for prediction of relapse in childhood acute lymphoblastic leukemia. |
| Q52626724 | Machine learning approaches for large scale classification of produce |
| Q33760256 | Machine learning classification of resting state functional connectivity predicts smoking status |
| Q51069243 | Machine learning methods in the computational biology of cancer |
| Q92611083 | Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data |
| Q98611595 | Machine learning-based automated classification of headache disorders using patient-reported questionnaires |
| Q45943921 | Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma. |
| Q100464810 | Machine learning-guided discovery and design of non-hemolytic peptides |
| Q57337338 | Machine-learning classifiers for imbalanced tornado data |
| Q34173408 | Maximizing biomarker discovery by minimizing gene signatures |
| Q37598945 | Medical decision support using machine learning for early detection of late-onset neonatal sepsis |
| Q46226265 | Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces. |
| Q31110581 | Meta-analysis of gene expression data: a predictor-based approach |
| Q31158830 | Meta-analytic support vector machine for integrating multiple omics data |
| Q91174606 | Metabolomics signatures of acutely ill and short-term weight recovered women with anorexia nervosa |
| Q51571429 | Methods of forward feature selection based on the aggregation of classifiers generated by single attribute |
| Q38812665 | Methods, Tools and Current Perspectives in Proteogenomics |
| Q33955198 | MicroRNA expression aberration as potential peripheral blood biomarkers for schizophrenia |
| Q33741866 | MicroRNA-integrated and network-embedded gene selection with diffusion distance |
| Q34982363 | Microbiomic signatures of psoriasis: feasibility and methodology comparison. |
| Q30500006 | Micropilot: automation of fluorescence microscopy-based imaging for systems biology |
| Q100416027 | Mid-infrared spectroscopic screening of metabolic alterations in stress-exposed gilthead seabream (Sparus aurata) |
| Q43798276 | Mining disease state converters for medical intervention of diseases |
| Q28388041 | Mining gene expression data of multiple sclerosis |
| Q37319255 | Mining genomic patterns in Mycobacterium tuberculosis H37Rv using a web server Tuber-Gene |
| Q28595422 | Mining precise cause and effect rules in large time series data of socio-economic indicators |
| Q30884986 | Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines |
| Q30390342 | Molecular signatures-based prediction of enzyme promiscuity |
| Q34541470 | Multi-analyte network markers for tumor prognosis |
| Q34214344 | Multi-atlas based representations for Alzheimer's disease diagnosis |
| Q46059033 | Multi-class cancer classification through gene expression profiles: microRNA versus mRNA. |
| Q50490578 | Multi-class cancer subtype classification based on gene expression signatures with reliability analysis |
| Q35592787 | Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease |
| Q39800991 | Multi-parametric quantitative MRI of normal appearing white matter in multiple sclerosis, and the effect of disease activity on T2. |
| Q36963870 | Multicategory reclassification statistics for assessing improvements in diagnostic accuracy. |
| Q36097357 | Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study |
| Q42037641 | Multiclass Sparse Bayesian Regression for fMRI-Based Prediction |
| Q33826830 | Multiclass classification of microarray data samples with a reduced number of genes |
| Q43484292 | Multidimensional analysis of the abnormal neural oscillations associated with lexical processing in schizophrenia |
| Q30978834 | Multidimensional support vector machines for visualization of gene expression data |
| Q38481200 | Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI. |
| Q59039528 | Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection |
| Q39540349 | Multiple Kernel Learning for Drug Discovery |
| Q57527129 | Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields |
| Q30624006 | Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data |
| Q38606003 | Multiple functional networks modeling for autism spectrum disorder diagnosis |
| Q36293796 | Multiregional integration in the brain during resting-state fMRI activity |
| Q58566244 | Multisensoral Topsoil Mapping in the Semiarid Lake Manyara Region, Northern Tanzania |
| Q41255425 | Multivariate Bayesian decoding of single-trial event-related fMRI responses for memory retrieval of voluntary actions |
| Q40397124 | Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images |
| Q43792382 | Multivariate classification of social anxiety disorder using whole brain functional connectivity. |
| Q47368541 | Mutation probability of cytochrome P450 based on a genetic algorithm and support vector machine |
| Q30975484 | NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data |
| Q35131109 | NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms |
| Q38817717 | Natural Language Processing Based Instrument for Classification of Free Text Medical Records |
| Q47874553 | Neonatal neural networks predict children behavioral profiles later in life |
| Q30665910 | Network and data integration for biomarker signature discovery via network smoothed T-statistics |
| Q89926626 | Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction |
| Q36033559 | Network-Induced Classification Kernels for Gene Expression Profile Analysis |
| Q30931355 | Network-constrained forest for regularized classification of omics data. |
| Q37024841 | Neural Correlates of Aggression in Medication-Naive Children with ADHD: Multivariate Analysis of Morphometry and Tractography |
| Q59755770 | Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy |
| Q34561013 | Neuroanatomical spatial patterns in Turner syndrome |
| Q47635537 | New gene selection method for classification of cancer subtypes considering within-class variation |
| Q51602994 | Noise incorporated subwindow permutation analysis for informative gene selection using support vector machines |
| Q34445692 | Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning |
| Q45953234 | Novel Cortical Thickness Pattern for Accurate Detection of Alzheimer's Disease. |
| Q30401557 | Novel Feature for Catalytic Protein Residues Reflecting Interactions with Other Residues |
| Q59193758 | Object-based urban structure type pattern recognition from Landsat TM with a Support Vector Machine |
| Q102072335 | Objective score from initial interview identifies patients with probable dissociative seizures |
| Q43787431 | Observed, Executed, and Imagined Action Representations can be Decoded From Ventral and Dorsal Areas |
| Q28586243 | On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships |
| Q30567362 | On the classification of microarray gene-expression data. |
| Q45961469 | On-the-spot lung cancer differential diagnosis by label-free, molecular vibrational imaging and knowledge-based classification |
| Q57742815 | Optimizing text classification through efficient feature selection based on quality metric |
| Q40069569 | PAA: an R/bioconductor package for biomarker discovery with protein microarrays |
| Q64064400 | PIMKL: Pathway-Induced Multiple Kernel Learning |
| Q39192113 | Pairwise Classifier Ensemble with Adaptive Sub-Classifiers for fMRI Pattern Analysis |
| Q87488048 | Pan-cancer transcriptome analysis reveals a gene expression signature for the identification of tumor tissue origin |
| Q30642995 | Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data |
| Q91902482 | Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma |
| Q42719649 | Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers |
| Q24653597 | PatternLab for proteomics: a tool for differential shotgun proteomics |
| Q33897660 | Peak Tree: A New Tool for Multiscale Hierarchical Representation and Peak Detection of Mass Spectrometry Data |
| Q33269730 | Peak selection from MALDI-TOF mass spectra using ant colony optimization |
| Q48706104 | Performance of common spatial pattern under a smaller set of EEG electrodes in brain-computer interface on chronic stroke patients: A multi-session dataset study |
| Q34529913 | Phenotype prediction from genome-wide association studies: application to smoking behaviors |
| Q36938246 | Practical issues in building risk-predicting models for complex diseases |
| Q40530869 | Pre-Processing Effect on the Accuracy of Event-Based Activity Segmentation and Classification through Inertial Sensors. |
| Q90130284 | Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination |
| Q108082883 | Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning |
| Q45943506 | Predicting cancer type from tumour DNA signatures. |
| Q47190427 | Predicting hemispheric dominance for language production in healthy individuals using support vector machine |
| Q38719496 | Predicting the Enzymatic Hydrolysis Half-lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination |
| Q48423979 | Predicting the continuous values of breast cancer relapse time by type-2 fuzzy logic system. |
| Q33876971 | Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data |
| Q91045454 | Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients |
| Q36438074 | Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns |
| Q57692866 | Prediction of Drug Activity Using Molecular Fragments-Based Representation and RFE Support Vector Machine Algorithm |
| Q37359190 | Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine. |
| Q37563518 | Prediction of N-Methyl-D-Aspartate Receptor GluN1-Ligand Binding Affinity by a Novel SVM-Pose/SVM-Score Combinatorial Ensemble Docking Scheme |
| Q45966716 | Prediction of P-glycoprotein substrates by a support vector machine approach. |
| Q36512382 | Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach |
| Q47562165 | Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity |
| Q35807223 | Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods |
| Q28831020 | Prediction of developmental chemical toxicity based on gene networks of human embryonic stem cells |
| Q33971092 | Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE. |
| Q35007800 | Prediction of metabolic reactions based on atomic and molecular properties of small-molecule compounds. |
| Q35025706 | Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine |
| Q96303424 | Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI |
| Q30392145 | Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features. |
| Q35305144 | Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease |
| Q28477085 | Predictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discovery |
| Q26778367 | Predictive biomarkers for treatment selection: statistical considerations |
| Q29350733 | Prefrontal gray matter volume mediates genetic risks for obesity |
| Q30685963 | Principal feature analysis: a multivariate feature selection method for fMRI data |
| Q30393619 | ProtNN: fast and accurate protein 3D-structure classification in structural and topological space |
| Q47443941 | Protein function classification via support vector machine approach |
| Q33514542 | Proteomic analysis of serum in patients with non-alcoholic steatohepatitis using matrix-assisted laser desorption ionization time-of-flight mass spectrometry |
| Q33270113 | Proteomic biomarker identification for diagnosis of early relapse in ovarian cancer |
| Q44485950 | Proteomic profiles of serum inflammatory markers accurately predict atherosclerosis in mice |
| Q47595178 | Proteomics and phosphoproteomics in precision medicine: applications and challenges. |
| Q38827809 | Public Response to Scientific Misconduct: Assessing Changes in Public Sentiment Toward the Stimulus-Triggered Acquisition of Pluripotency (STAP) Cell Case via Twitter |
| Q43810041 | QSAR classification of estrogen receptor binders and pre-screening of potential pleiotropic EDCs |
| Q35679627 | Quantification of liver fibrosis via second harmonic imaging of the Glisson's capsule from liver surface |
| Q42760711 | Quantifying small molecule phenotypic effects using mitochondrial morpho-functional fingerprinting and machine learning. |
| Q35043487 | Quantitative network measures as biomarkers for classifying prostate cancer disease states: a systems approach to diagnostic biomarkers |
| Q43026464 | Quantitative structure-activity relationship studies of TIBO derivatives using support vector machines |
| Q35101902 | Quantitative survey of multiple CpGs from 5 genes identifies CpG methylation panel discriminating between high- and low-grade cervical intraepithelial neoplasia |
| Q115466109 | RETRACTED ARTICLE: Ensemble learning with recursive feature elimination integrated software effort estimation: a novel approach |
| Q38699741 | RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers |
| Q27134949 | RRegrs: an R package for computer-aided model selection with multiple regression models |
| Q47124309 | Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging |
| Q39411090 | Raman spectra exploring breast tissues: Comparison of principal component analysis and support vector machine‐recursive feature elimination |
| Q36676574 | Random Forest in Clinical Metabolomics for Phenotypic Discrimination and Biomarker Selection |
| Q39079656 | Random Subspace Aggregation for Cancer Prediction with Gene Expression Profiles |
| Q33850602 | Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis |
| Q34947272 | Ranking causal variants and associated regions in genome-wide association studies by the support vector machine and random forest |
| Q38169759 | Rapid diagnosis of TB using GC-MS and chemometrics |
| Q43311214 | Rapid estimation of compost enzymatic activity by spectral analysis method combined with machine learning |
| Q58765790 | Recapitulation |
| Q57534288 | Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry |
| Q51600729 | Recipe for uncovering predictive genes using support vector machines based on model population analysis |
| Q36184659 | Recursive Feature Selection with Significant Variables of Support Vectors |
| Q34570165 | Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood |
| Q36829445 | Recursive feature elimination for brain tumor classification using desorption electrospray ionization mass spectrometry imaging |
| Q56045619 | Recursive feature elimination in Raman spectra with support vector machines |
| Q37270376 | Reducing the complexity of complex gene coexpression networks by coupling multiweighted labeling with topological analysis |
| Q31079198 | Regularization network-based gene selection for microarray data analysis |
| Q31111501 | Regularization strategies for hyperplane classifiers: application to cancer classification with gene expression data |
| Q30861952 | Reliable pre-eclampsia pathways based on multiple independent microarray data sets |
| Q34292647 | Resting-state multi-spectrum functional connectivity networks for identification of MCI patients |
| Q90168313 | Revisiting the use of web search data for stock market movements |
| Q57603854 | Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images |
| Q82187017 | Robust Classification Method of Tumor Subtype by Using Correlation Filters |
| Q33897663 | Robust Feature Selection for Microarray Data Based on Multicriterion Fusion |
| Q31087396 | Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information |
| Q57603899 | Robust Feature Selection to Predict Lung Tumor Recurrence |
| Q93014965 | Robust biomarker discovery for microbiome-wide association studies |
| Q57706285 | Robust content authentication of gray and color images using lbp-dct markov-based features |
| Q51499135 | Robust discrimination of glioblastomas from metastatic brain tumors on the basis of single-voxel (1)H MRS. |
| Q30858189 | Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling |
| Q37224697 | SNP selection in genome-wide association studies via penalized support vector machine with MAX test |
| Q57315146 | SNPboost: Interaction Analysis and Risk Prediction on GWA Data |
| Q33780623 | STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis |
| Q36092174 | SVM Based Descriptor Selection and Classification of Neurodegenerative Disease Drugs for Pharmacological Modeling |
| Q51571719 | SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease |
| Q55669809 | SVM-RFE based feature selection and Taguchi parameters optimization for multiclass SVM classifier. |
| Q31063951 | SVM-based feature selection for characterization of focused compound collections |
| Q44300495 | SVM‐Based Generalized Multifactor Dimensionality Reduction Approaches for Detecting Gene‐Gene Interactions in Family Studies |
| Q51430127 | SVM–T-RFE: A novel gene selection algorithm for identifying metastasis-related genes in colorectal cancer using gene expression profiles |
| Q34131895 | SVS: Data and knowledge integration in computational biology |
| Q48457339 | Scalp localization of human auditory cortical activity modified by GSM electromagnetic fields |
| Q36218351 | Screening for Dyslexia Using Eye Tracking during Reading. |
| Q51129603 | Screening for High Conductivity/Low Viscosity Ionic Liquids Using Product Descriptors |
| Q91386538 | Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson's Disease: A Comprehensive Machine Learning Approach |
| Q47248545 | Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics. |
| Q57603493 | Selecting Features from Low Quality Datasets by a Fuzzy Ensemble |
| Q47106103 | Selection and classification of gene expression in autism disorder: Use of a combination of statistical filters and a GBPSO-SVM algorithm |
| Q30690335 | Selection bias in gene extraction on the basis of microarray gene-expression data |
| Q41896607 | Selection of genetic and phenotypic features associated with inflammatory status of patients on dialysis using relaxed linear separability method |
| Q48626577 | Sensor (group feature) selection with controlled redundancy in a connectionist framework |
| Q35030888 | Sequential support vector regression with embedded entropy for SNP selection and disease classification |
| Q51286632 | Serum proteomic pattern analysis for early cancer detection |
| Q37327060 | Sex-specific genomic biomarkers for individualized treatment of life-threatening diseases |
| Q37589658 | Shape-Attributes of Brain Structures as Biomarkers for Alzheimer's Disease |
| Q91579802 | ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data |
| Q33909150 | Short DNA sequence patterns accurately identify broadly active human enhancers |
| Q41735339 | Simple decision rules for classifying human cancers from gene expression profiles |
| Q41981553 | Simultaneous analysis of plasma and CSF by NMR and hierarchical models fusion |
| Q33640999 | Single trial discrimination of individual finger movements on one hand: A combined MEG and EEG study |
| Q43628798 | Sorting multiple classes in multi-dimensional ROC analysis: parametric and nonparametric approaches |
| Q42764083 | Sparse Logistic Regression for Diagnosis of Liver Fibrosis in Rat by Using SCAD‐Penalized Likelihood |
| Q33938692 | Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems |
| Q36329414 | Sparse feature selection for classification and prediction of metastasis in endometrial cancer. |
| Q33961851 | Sparse multivariate autoregressive modeling for mild cognitive impairment classification |
| Q34270674 | Sparse representation of brain aging: extracting covariance patterns from structural MRI. |
| Q45067933 | Sparse supervised classification methods predict and characterize nanomaterial exposures: independent markers of MWCNT exposures |
| Q47151883 | Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification |
| Q33960208 | Stability of ranked gene lists in large microarray analysis studies |
| Q33839153 | Stable Gene Selection from Microarray Data via Sample Weighting |
| Q36268751 | Stable feature selection based on the ensemble L 1 -norm support vector machine for biomarker discovery |
| Q47568240 | Standardization procedure for plasma biomarker analysis in rat models of epileptogenesis: Focus on circulating microRNAs. |
| Q49808945 | Statistical Approach for Gene Set Analysis with Trait Specific Quantitative Trait Loci |
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| Q34249289 | Statistical interpretation of machine learning-based feature importance scores for biomarker discovery |
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