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Causal network to depict functional relations between sensitivity-specific and resistance-specific signature genes.

By Bin Li (39349), Hyunjin Shin (759993), Georgy Gulbekyan (759994), Olga Pustovalova (399187), Yuri Nikolsky (47405), Andrew Hope (759995), Marina Bessarabova (223919), Matthew Schu (759996), Elona Kolpakova-Hart (759997), David Merberg (256784), Andrew Dorner (759998) and William L. Trepicchio (759999)

Abstract

<p>The network was reconstructed from canonical signaling pathways regulated by signature genes and a signature specific direct interaction network. Sensitivity-specific signature genes are highlighted with blue thermometers, resistance-specific genes with red thermometers.</p

Topics: Uncategorised, patient data, drug discovery, treatment arms, signature genes, trial design, Predict Treatment Outcome, drug sensitivity models, cancer indications, stage trials, trial results, splitting strategy, patient stratification, patient inclusion parameter, canonical pathways, GEO expression datasets, erlotinib, Identify Cell Line Derived Translational Biomarkers, plsr, modeling framework, Sorafenib Development, model building, Such translational biomarkers, squares regression, trial phases
Year: 2015
DOI identifier: 10.1371/journal.pone.0130700.g002
OAI identifier: oai:figshare.com:article/1462946
Provided by: FigShare
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