Evaluating the molecule-based prediction of clinical drug responses in cancer.
about
Two-photon dual imaging platform for in vivo monitoring cellular oxidative stress in liver injury.Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance.Genome-wide DNA methylation analysis identifies candidate epigenetic markers and drivers of hepatocellular carcinoma.Discovery of Bladder Cancer-related Genes Using Integrative Heterogeneous Network Modeling of Multi-omics Data.Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach.Identification of an immune gene expression signature associated with favorable clinical features in Treg-enriched patient tumor samples.
P2860
Evaluating the molecule-based prediction of clinical drug responses in cancer.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@en
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@nl
type
label
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@en
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@nl
prefLabel
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@en
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@nl
P2093
P2860
P356
P1433
P1476
Evaluating the molecule-based prediction of clinical drug responses in cancer.
@en
P2093
P2860
P304
P356
10.1093/BIOINFORMATICS/BTW344
P407
P577
2016-06-09T00:00:00Z