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bioinformatics · cancer genomics · prognostic modeling

Prognostic Gene Signature Discovery Pipeline for Hepatocellular Carcinoma

種類 フローチャート規格 Sugiyama layered DAG + orthogonal routingエンジン schematex-flowchart更新日 2026/8/31
Prognostic Gene Signature Discovery Pipeline for Hepatocellular Carcinoma
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A researcher needs a reproducible pipeline to derive a prognostic multigene signature for hepatocellular carcinoma using public transcriptomic cohorts.

この図に含まれるもの

図の背後にある意思決定を読み解く。

01

Use TCGA as the discovery cohort and GEO datasets for independent validation

02

Apply univariate Cox screening before LASSO to reduce dimensionality

03

Use Kaplan-Meier separation and independent prognostic evaluation as validation gates

Reusable for similar cancer gene signature discovery workflows where public expression and survival data are available.

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