A Toolbox for Functional Analysis and the Systematic Identification of Diagnostic and Prognostic Gene Expression Signatures Combining Meta-Analysis and Machine Learning.
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ABSTRACT:
SUBMITTER: Vey J
PROVIDER: S-EPMC6827106 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
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A Toolbox for Functional Analysis and the Systematic Identification of Diagnostic and Prognostic Gene Expression Signatures Combining Meta-Analysis and Machine Learning.
Vey Johannes J Kapsner Lorenz A. LA Fuchs Maximilian M Unberath Philipp P Veronesi Giulia G Kunz Meik M
Cancers 20191021 10
The identification of biomarker signatures is important for cancer diagnosis and prognosis. However, the detection of clinical reliable signatures is influenced by limited data availability, which may restrict statistical power. Moreover, methods for integration of large sample cohorts and signature identification are limited. We present a step-by-step computational protocol for functional gene expression analysis and the identification of diagnostic and prognostic signatures by combining meta-a ...[more]
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