Open AccessPredicting High-Impact Pharmacological Targets by Integrating Transcriptome and Text-Mining Features
Author(s) -
Anatoly L. Mayburd,
Ancha Baranova
Publication year - 2016
Publication title -
journal of pharmacy and pharmaceutical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.497
H-Index - 78
ISSN - 1482-1826
DOI - 10.18433/jpps.v19i4.28245
Subject(s) - drug repositioning , repurposing , transcriptome , computational biology , computer science , interpretability , data mining , bioinformatics , biology , machine learning , gene , gene expression , drug , pharmacology , genetics , ecology