PREDICT: a method for inferring novel drug indications with application to personalized medicine

Inferring potential drug indications, for either novel or approved drugs, is a key step in drug development. Previous computational methods in this domain have focused on either drug repositioning or matching drug and disease gene expression profiles. Here, we present a novel method for the large‐sc...

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Vydáno v:	Molecular systems biology Ročník 7; číslo 1; s. 496 - n/a
Hlavní autoři:	Gottlieb, Assaf, Stein, Gideon Y, Ruppin, Eytan, Sharan, Roded
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 07.06.2011 John Wiley & Sons, Ltd EMBO Press Nature Publishing Group Springer Nature
Témata:	Algorithms Alzheimer's disease Cancer Clear cell-type renal cell carcinoma Clinical trials Computation Computational Biology - methods Computer applications Databases, Factual Diseases Drug development drug indication prediction Drug Repositioning drug repurposing Drugs Drugs, Investigational - chemistry EMBO10 EMBO24 Evaluation Studies as Topic Gene expression Gene Expression Profiling - methods Glutamic acid receptors (ionotropic) Humans Hyperprolactinemia Hyperthermia Logistic Models machine learning Medical research Medicine Molecular chains N-Methyl-D-aspartic acid receptors Neurodegenerative diseases Organic chemistry Patients personalized medicine Precision Medicine Predictions Progesterone Sensitivity Signatures Similarity Similarity measures drug repurposing drug indication prediction drug repositioning machine learning personalized medicine
ISSN:	1744-4292, 1744-4292
On-line přístup:	Získat plný text
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