Identification of potential therapeutic targets for lung cancer by bioinformatics analysis
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A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification.Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets.Adaptively capturing the heterogeneity of expression for cancer biomarker identification
P2860
Identification of potential therapeutic targets for lung cancer by bioinformatics analysis
description
2015 nî lūn-bûn
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name
Identification of potential th ...... cer by bioinformatics analysis
@ast
Identification of potential th ...... cer by bioinformatics analysis
@en
type
label
Identification of potential th ...... cer by bioinformatics analysis
@ast
Identification of potential th ...... cer by bioinformatics analysis
@en
prefLabel
Identification of potential th ...... cer by bioinformatics analysis
@ast
Identification of potential th ...... cer by bioinformatics analysis
@en
P2093
P2860
P356
P1476
Identification of potential th ...... cer by bioinformatics analysis
@en
P2093
Lan-Hua Zhao
Li-Quan Wang
Yi-Ze Qiao
P2860
P304
P356
10.3892/MMR.2015.4752
P577
2015-12-31T00:00:00Z