Network-based prediction and knowledge mining of disease genes.
about
Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL).Connecting the dots in translational bioinformatics: TBC 2014 collection.Identification of candidate genes and long non-coding RNAs associated with the effect of ATP5J in colorectal cancer.Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets.Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions.Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target
P2860
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P2860
Network-based prediction and knowledge mining of disease genes.
description
2015 nî lūn-bûn
@nan
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
2015年论文
@zh
2015年论文
@zh-cn
name
Network-based prediction and knowledge mining of disease genes.
@ast
Network-based prediction and knowledge mining of disease genes.
@en
type
label
Network-based prediction and knowledge mining of disease genes.
@ast
Network-based prediction and knowledge mining of disease genes.
@en
prefLabel
Network-based prediction and knowledge mining of disease genes.
@ast
Network-based prediction and knowledge mining of disease genes.
@en
P2860
P1433
P1476
Network-based prediction and knowledge mining of disease genes
@en
P2093
P2860
P2888
P356
10.1186/1755-8794-8-S2-S9
P478
P577
2015-05-29T00:00:00Z
P6179
1024659353