scholarly article | Q13442814 |
P356 | DOI | 10.1155/2013/298183 |
P8608 | Fatcat ID | release_sgdfilohtzgwvjuspfcmwkrzju |
P953 | full work available at URL | http://downloads.hindawi.com/journals/ecam/2013/298183.pdf |
http://downloads.hindawi.com/journals/ecam/2013/298183.xml | ||
https://downloads.hindawi.com/journals/ecam/2013/298183.pdf | ||
https://europepmc.org/articles/PMC3594909 | ||
https://europepmc.org/articles/PMC3594909?pdf=render | ||
P932 | PMC publication ID | 3594909 |
P698 | PubMed publication ID | 23573122 |
P5875 | ResearchGate publication ID | 236189730 |
P50 | author | Weiping Jia | Q87813202 |
P2093 | author name string | Yu Cao | |
Congrong Wang | |||
Yuqian Bao | |||
Yinan Zhang | |||
Aihua Zhao | |||
Tianlu Chen | |||
Jiajian Liu | |||
P2860 | cites work | Molecular & Cellular Proteomics | Q6895932 |
Potential metabolite markers of schizophrenia. | Q36479055 | ||
Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra | Q37444579 | ||
Metabonomic variations in the drug-treated type 2 diabetes mellitus patients and healthy volunteers. | Q43284301 | ||
Serum metabolite profiling of human colorectal cancer using GC-TOFMS and UPLC-QTOFMS. | Q43292555 | ||
Enriched random forests | Q46440434 | ||
Gene Selection for Cancer Classification using Support Vector Machines | Q56535529 | ||
The use of the area under the ROC curve in the evaluation of machine learning algorithms | Q56594447 | ||
Targeting tumour metabolism | Q56864735 | ||
Application of ethyl chloroformate derivatization for gas chromatography-mass spectrometry based metabonomic profiling | Q80042168 | ||
Salivary metabolite signatures of oral cancer and leukoplakia | Q83053879 | ||
Random Forests | Q115707260 | ||
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
Cancer statistics, 2010 | Q27860525 | ||
Metabolomics – the link between genotypes and phenotypes | Q28540942 | ||
'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data | Q29784220 | ||
Chemometrics in metabonomics. | Q30359585 | ||
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification | Q30482925 | ||
Identification of differential gene expression for microarray data using recursive random forest. | Q33404920 | ||
A random forest approach to the detection of epistatic interactions in case-control studies | Q33407925 | ||
Metabonomic evaluation of melamine-induced acute renal toxicity in rats | Q33454866 | ||
Data integration and network reconstruction with ~omics data using Random Forest regression in potato. | Q34036448 | ||
Metabonomics: a platform for studying drug toxicity and gene function | Q34139125 | ||
A combined proteomics and metabolomics profiling of gastric cardia cancer reveals characteristic dysregulations in glucose metabolism | Q35006537 | ||
P275 | copyright license | Creative Commons Attribution 3.0 Unported | Q14947546 |
P6216 | copyright status | copyrighted | Q50423863 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | random forest | Q245748 |
biomarker | Q864574 | ||
metabolomics | Q12149006 | ||
P304 | page(s) | 298183 | |
P577 | publication date | 2013-02-02 | |
P1433 | published in | Evidence-based Complementary and Alternative Medicine | Q5418319 |
P1476 | title | Random forest in clinical metabolomics for phenotypic discrimination and biomarker selection | |
Random Forest in Clinical Metabolomics for Phenotypic Discrimination and Biomarker Selection | |||
P478 | volume | 2013 |
Q112750514 | A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection |
Q28388245 | An Untargeted Metabolomics Approach to Characterize Short-Term and Long-Term Metabolic Changes after Bariatric Surgery |
Q35587017 | Computational Ranking of Yerba Mate Small Molecules Based on Their Predicted Contribution to Antibacterial Activity against Methicillin-Resistant Staphylococcus aureus |
Q90663617 | Deriving Lipid Classification Based on Molecular Formulas |
Q92099624 | Development of heart failure risk prediction models based on a multi-marker approach using random forest algorithms |
Q33844995 | Evaluation of Classifier Performance for Multiclass Phenotype Discrimination in Untargeted Metabolomics |
Q31117573 | Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data |
Q45945580 | Metabolite and transcript markers for the prediction of potato drought tolerance. |
Q57606400 | Metabolomic Profile Predicts Development of Microalbuminuria in Individuals with Type 1 Diabetes |
Q28084835 | Metabolomics and diabetes: analytical and computational approaches |
Q108126975 | Metabolomics-Guided Elucidation of Plant Abiotic Stress Responses in the 4IR Era: An Overview |
Q60918724 | NMR-based metabolomics identifies patients at high risk of death within two years after acute myocardial infarction in the AMI-Florence II cohort |
Q41085902 | New frontiers in metabolomics: from measurement to insight |
Q53405822 | Plasma metabolomic biomarkers accurately classify acute mild traumatic brain injury from controls |
Q90727665 | Plasma metabolomics and clinical predictors of survival differences in COPD patients |
Q58758491 | Potential Metabolomic Linkage in Blood between Parkinson's Disease and Traumatic Brain Injury |
Q64065943 | Prediction of cardiovascular outcomes with machine learning techniques: application to the Cardiovascular Outcomes in Renal Atherosclerotic Lesions (CORAL) study |
Q64077869 | Prediction of pneumoconiosis by serum and urinary biomarkers in workers exposed to asbestos-contaminated minerals |
Q39076980 | Proteomic Profiling of Serial Prediagnostic Serum Samples for Early Detection of Colon Cancer in the U.S. Military |
Q61811163 | Random Forest Analysis of Untargeted Metabolomics Data Suggests Increased Use of Omega Fatty Acid Oxidation Pathway in Drosophila Melanogaster Larvae Fed a Medium Chain Fatty Acid Rich High-Fat Diet |
Q64100387 | Repeated administration of the NSAID meloxicam alters the plasma and urine lipidome |
Q36360941 | Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
Q92129486 | Statistical Workflow for Feature Selection in Human Metabolomics Data |
Q28541733 | Towards the disease biomarker in an individual patient using statistical health monitoring |
Q52647101 | Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients |
Q99605805 | UHPLC-MS/MS-Based Nontargeted Metabolomics Analysis Reveals Biomarkers Related to the Freshness of Chilled Chicken |
Q89696036 | Urinary chemical fingerprint left behind by repeated NSAID administration: Discovery of putative biomarkers using artificial intelligence |
Q38970826 | Using non-targeted direct analysis in real time-mass spectrometry (DART-MS) to discriminate seeds based on endogenous or exogenous chemicals |
Search more.