| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/MaZ12a |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTS502 |
| P932 | PMC publication ID | 3467747 |
| P698 | PubMed publication ID | 22923307 |
| P5875 | ResearchGate publication ID | 230742144 |
| P2093 | author name string | Hongyu Zhao | |
| Haisu Ma | |||
| P2860 | cites work | Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles | Q24536351 |
| Pathguide: a pathway resource list | Q25256662 | ||
| Systems pharmacology: network analysis to identify multiscale mechanisms of drug action | Q26824166 | ||
| Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources | Q27860739 | ||
| Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists | Q28131785 | ||
| The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases | Q28253558 | ||
| Predicting drug-target interaction networks based on functional groups and biological features | Q28473160 | ||
| Drug-induced regulation of target expression | Q28475443 | ||
| Integrating statistical predictions and experimental verifications for enhancing protein-chemical interaction predictions in virtual screening | Q28475578 | ||
| The Connectivity Map: a new tool for biomedical research | Q28530408 | ||
| Novel computational approaches to polypharmacology as a means to define responses to individual drugs | Q28969532 | ||
| PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes | Q29547229 | ||
| KEGG for integration and interpretation of large-scale molecular data sets | Q29547277 | ||
| The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease | Q29547614 | ||
| The NCI60 human tumour cell line anticancer drug screen | Q29614975 | ||
| Drug target identification using side-effect similarity | Q29615103 | ||
| Solving the apparent diversity-accuracy dilemma of recommender systems | Q30493795 | ||
| Factor analysis for gene regulatory networks and transcription factor activity profiles | Q30830078 | ||
| Integrating high-content screening and ligand-target prediction to identify mechanism of action | Q33309163 | ||
| Large-scale prediction of protein-protein interactions from structures | Q33542870 | ||
| Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework | Q33597328 | ||
| Identification of small molecules enhancing autophagic function from drug network analysis | Q33712703 | ||
| Discovery of drug mode of action and drug repositioning from transcriptional responses | Q34093341 | ||
| Docking and scoring in virtual screening for drug discovery: methods and applications | Q34364227 | ||
| The Comparative Toxicogenomics Database: update 2011. | Q34456573 | ||
| Chronic administration of 13-cis-retinoic acid increases depression-related behavior in mice. | Q34563935 | ||
| iFad: an integrative factor analysis model for drug-pathway association inference | Q36076329 | ||
| Role of retinoid signalling in the adult brain | Q36121406 | ||
| Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. | Q37283297 | ||
| Application of connectivity mapping in predictive toxicology based on gene-expression similarity. | Q37605277 | ||
| Bayesian sparse hidden components analysis for transcription regulation networks | Q38317475 | ||
| Identifying network of drug mode of action by gene expression profiling | Q39889042 | ||
| Decreased expression of striatal signaling genes in a mouse model of Huntington's disease | Q45300376 | ||
| Effects of mometasone furoate on a rat allergic rhinitis model | Q46779535 | ||
| Alignment-free prediction of a drug-target complex network based on parameters of drug connectivity and protein sequence of receptors. | Q51772250 | ||
| Mometasone furoate decreases adhesion molecule expression in psoriasis | Q77206928 | ||
| The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals | Q82751051 | ||
| P4510 | describes a project that uses | limma | Q112236343 |
| P433 | issue | 20 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 2662-2670 | |
| P577 | publication date | 2012-08-24 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | FacPad: Bayesian sparse factor modeling for the inference of pathways responsive to drug treatment | |
| P478 | volume | 28 |
| Q35646230 | ASSIGN: context-specific genomic profiling of multiple heterogeneous biological pathways |
| Q33643334 | BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database |
| Q34570294 | Drug target inference through pathway analysis of genomics data |
| Q36408203 | Identifying drug-pathway association pairs based on L1L2,1-integrative penalized matrix decomposition |
| Q47202979 | Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition |
| Q39169075 | Inferring Association between Compound and Pathway with an Improved Ensemble Learning Method |
| Q43435715 | Pathway-based Bayesian inference of drug-disease interactions |
| Q90758338 | PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks |
| Q50097213 | Prediction of drug-pathway interaction pairs with a disease-combined LSA-PU-KNN method. |
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