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Network analysis of TCGA and GTEx gene expression datasets for identification of trait-associated biomarkers in human cancer.


ABSTRACT: Advances in high-throughput sequencing technologies now yield unprecedented volumes of OMICs data with opportunities to conduct systematic data analyses and derive novel biological insights. Here, we provide protocols to perform differential-expressed gene analysis of TCGA and GTEx RNA-Seq data from human cancers, complete integrative GO and network analyses with focus on clinical and survival data, and identify differential correlation of trait-associated biomarkers. For complete details on the use and execution of this protocol, please refer to Chen and MacDonald (2021).

SUBMITTER: Chen HM 

PROVIDER: S-EPMC8841814 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Network analysis of TCGA and GTEx gene expression datasets for identification of trait-associated biomarkers in human cancer.

Chen Huey-Miin HM   MacDonald Justin A JA  

STAR protocols 20220207 1


Advances in high-throughput sequencing technologies now yield unprecedented volumes of OMICs data with opportunities to conduct systematic data analyses and derive novel biological insights. Here, we provide protocols to perform differential-expressed gene analysis of TCGA and GTEx RNA-Seq data from human cancers, complete integrative GO and network analyses with focus on clinical and survival data, and identify differential correlation of trait-associated biomarkers. For complete details on the  ...[more]

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