Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.
about
Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomicsHEDD: the human epigenetic drug databaseComparing structural and transcriptional drug networks reveals signatures of drug activity and toxicity in transcriptional responses.Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets.Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures.Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data
P2860
Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.
description
2015 nî lūn-bûn
@nan
2015 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Predicting target proteins for ...... structure-independent manner.
@ast
Predicting target proteins for ...... structure-independent manner.
@en
type
label
Predicting target proteins for ...... structure-independent manner.
@ast
Predicting target proteins for ...... structure-independent manner.
@en
prefLabel
Predicting target proteins for ...... structure-independent manner.
@ast
Predicting target proteins for ...... structure-independent manner.
@en
P2093
P2860
P1433
P1476
Predicting target proteins for ...... structure-independent manner.
@en
P2093
Ryusuke Sawada
Yoshihiro Yamanishi
Yoshiyuki Hizukuri
P2860
P2888
P356
10.1186/S12920-015-0158-1
P577
2015-12-18T00:00:00Z
P5875
P6179
1007465649