Article

CCNIF: A Reproducible Causal-Network Framework for Prioritizing and Characterizing Candidate Cancer Driver Genes in Lung Adenocarcinoma

2026-08-06

Abstract excerpt

<title>Abstract</title> <p>Distinguishing genuine cancer drivers from the much larger set of passenger mutations remains one of the persistent bottlenecks in translating tumor sequencing data into biological insight. We present CCNIF (Cancer Causal Network Inference Framework), a reproducible computational pipeline that prioritizes candidate driver genes from a cohort's mutation and expression data, then builds a...

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Literature Corpus work: b8321694-2020-552b-9417-a6c5663c07ab
DOI: 10.21203/rs.3.rs-10389531/v1

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