A modular approach for integrative analysis of large-scale gene-expression and drug-response data.
about
Genome-wide matching of genes to cellular roles using guilt-by-association models derived from single sample analysisStrategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the ChallengesDeep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic DataExpression-based in silico screening of candidate therapeutic compounds for lung adenocarcinomaCombination of a proteomics approach and reengineering of meso scale network models for prediction of mode-of-action for tyrosine kinase inhibitorsMachine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical propertiesContext Sensitive Modeling of Cancer Drug SensitivitymiRNA-mRNA integrated analysis reveals roles for miRNAs in primary breast tumorsAtCAST3.0 update: a web-based tool for analysis of transcriptome data by searching similarities in gene expression profiles.Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data.Genomics Portals: integrative web-platform for mining genomics data.Simultaneous clustering of multiple gene expression and physical interaction datasets.An eScience-Bayes strategy for analyzing omics data.Predicting enzyme targets for cancer drugs by profiling human metabolic reactions in NCI-60 cell lines.Transactional database transformation and its application in prioritizing human disease genes.Comparative analysis of genes frequently regulated by drugs based on connectivity map transcriptome data.Fifteen years SIB Swiss Institute of Bioinformatics: life science databases, tools and support.Integrated genomic analysis of biological gene sets with applications in lung cancer prognosisA novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modulesPhenotype prediction using regularized regression on genetic data in the DREAM5 Systems Genetics B Challenge.Comparative modular analysis of gene expression in vertebrate organsThe effect of network biology on drug toxicology.Identifying multi-layer gene regulatory modules from multi-dimensional genomic data.Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network.Predicting in vitro drug sensitivity using Random ForestsSystematic analysis of new drug indications by drug-gene-disease coherent subnetworks.Co-modulation analysis of gene regulation in breast cancer reveals complex interplay between ESR1 and ERBB2 genesAnticancer drug sensitivity prediction in cell lines from baseline gene expression through recursive feature selectionSystems genetics of the nuclear factor-κB signal transduction network. I. Detection of several quantitative trait loci potentially relevant to aging.iFad: an integrative factor analysis model for drug-pathway association inferenceDiverse array-designed modes of combination therapies in Fangjiomics.Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data.Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel.Characterization of drug-induced transcriptional modules: towards drug repositioning and functional understanding.Comparison and validation of genomic predictors for anticancer drug sensitivity.Gene module level analysis: identification to networks and dynamics.Navigating traditional chinese medicine network pharmacology and computational tools.Harnessing gene expression to identify the genetic basis of drug resistanceEngineered reversal of drug resistance in cancer cells--metastases suppressor factors as change agents.
P2860
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P2860
A modular approach for integrative analysis of large-scale gene-expression and drug-response data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A modular approach for integra ...... ession and drug-response data.
@ast
A modular approach for integra ...... ession and drug-response data.
@en
type
label
A modular approach for integra ...... ession and drug-response data.
@ast
A modular approach for integra ...... ession and drug-response data.
@en
prefLabel
A modular approach for integra ...... ession and drug-response data.
@ast
A modular approach for integra ...... ession and drug-response data.
@en
P2860
P50
P356
P1433
P1476
A modular approach for integra ...... ession and drug-response data.
@en
P2860
P2888
P304
P356
10.1038/NBT1397
P577
2008-05-01T00:00:00Z
P5875
P6179
1026932267