| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bib/LiWN18 |
| P356 | DOI | 10.1093/BIB/BBW113 |
| P698 | PubMed publication ID | 28011753 |
| P2093 | author name string | Yifeng Li | |
| Alioune Ngom | |||
| Fang-Xiang Wu | |||
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| Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach | Q30992824 | ||
| A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data | Q30993887 | ||
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| Data integration in plant biology: the O2PLS method for combined modeling of transcript and metabolite data | Q31132869 | ||
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| K-OPLS package: kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space | Q33320333 | ||
| Reverse-phase protein lysate microarrays for cell signaling analysis | Q33381529 | ||
| Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis | Q33503982 | ||
| CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data | Q33681694 | ||
| A fast learning algorithm for deep belief nets | Q33996665 | ||
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| Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes | Q34375924 | ||
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| The non-negative matrix factorization toolbox for biological data mining | Q34670961 | ||
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| Identifying Individual-Cancer-Related Genes by Rebalancing the Training Samples. | Q45951560 | ||
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| Identifying protein complexes based on multiple topological structures in PPI networks | Q47707332 | ||
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| Approximation capabilities of multilayer feedforward networks | Q56532756 | ||
| Multi-View Clustering via Joint Nonnegative Matrix Factorization | Q56533374 | ||
| A tutorial on spectral clustering | Q57408123 | ||
| Kernel-based orthogonal projections to latent structures (K-OPLS) | Q58045850 | ||
| Consistency of random forests | Q58942722 | ||
| P921 | main subject | machine learning | Q2539 |
| data integration | Q386824 | ||
| P577 | publication date | 2016-12-22 | |
| P1433 | published in | Briefings in Bioinformatics | Q4967031 |
| P1476 | title | A review on machine learning principles for multi-view biological data integration |
| Q64231802 | A Selective Review of Multi-Level Omics Data Integration Using Variable Selection |
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| Q114871132 | Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents |
| Q99238010 | Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology |
| Q62489814 | Artificial intelligence for precision oncology: beyond patient stratification |
| Q58617463 | Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana |
| Q45943481 | Computational systems biology approaches for Parkinson's disease. |
| Q57173565 | Current Applications and Future Impact of Machine Learning in Radiology |
| Q90334282 | Data Fusion Techniques for the Integration of Multi-Domain Genomic Data from Uveal Melanoma |
| Q92621017 | Development of a bedside tool to predict the probability of drug-resistant pathogens among hospitalized adult patients with gram-negative infections |
| Q90273106 | Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery |
| Q64122639 | Enter the Matrix: Factorization Uncovers Knowledge from Omics |
| Q97067824 | Fast computation of genome-metagenome interaction effects |
| Q55242430 | Genome-wide prediction of cis-regulatory regions using supervised deep learning methods. |
| Q47129732 | Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets. |
| Q89986054 | Imagine…(a common language for ICU data inquiry and analysis) |
| Q92966916 | Incremental data integration for tracking genotype-disease associations |
| Q97645878 | Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools |
| Q90266297 | Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer's Disease |
| Q97885888 | Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling |
| Q33614889 | Intracellular signaling entropy can be a biomarker for predicting the development of cervical intraepithelial neoplasia |
| Q64251772 | Machine Learning and Integrative Analysis of Biomedical Big Data |
| Q91796642 | Machine and deep learning meet genome-scale metabolic modeling |
| Q92330174 | ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks |
| Q57181817 | Multi-omic and multi-view clustering algorithms: review and cancer benchmark |
| Q90168237 | Multi-view based integrative analysis of gene expression data for identifying biomarkers |
| Q62091751 | Multiblock PLS: Block dependent prediction modeling for Python |
| Q89628841 | Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships |
| Q92523156 | Multiset sparse partial least squares path modeling for high dimensional omics data analysis |
| Q64059249 | Predicting the decision making chemicals used for bacterial growth |
| Q38608064 | Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing. |
| Q57287493 | Towards region-specific propagation of protein functions |
| Q64059902 | Two-step approach for assessing the health effects of environmental chemical mixtures: application to simulated datasets and real data from the Navajo Birth Cohort Study |
| Q92723052 | VOLARE: visual analysis of disease-associated microbiome-immune system interplay |
| Q91862753 | Vertical and horizontal integration of multi-omics data with miodin |
| Q92340644 | X-ray microtomography and linear discriminant analysis enable detection of embolism-related acoustic emissions |
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