ChatDiagram
bioinformatics · cancer genomics · prognostic modeling

Prognostic Gene Signature Discovery Pipeline for Hepatocellular Carcinoma

類型 流程圖標準 Sugiyama layered DAG + orthogonal routing引擎 schematex-flowchart更新時間 2026/8/31
Prognostic Gene Signature Discovery Pipeline for Hepatocellular Carcinoma
Drawing preview
情境

A researcher needs a reproducible pipeline to derive a prognostic multigene signature for hepatocellular carcinoma using public transcriptomic cohorts.

這張圖裡有什麼

看懂背後的決策。

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.

瀏覽所有 流程圖 範本 →