Article

Integrative Data Mining Pipeline for Identification of a Protein- Based Prognostic Signature in Lung Squamous Cell Carcinoma

2023-03-22

Abstract excerpt

The purpose of this study is to use an integrated data mining approach, in which multi-omics, clinical information, and image information are considered together, and to develop a new prognosis prediction model for Lung Squamous Cell Carcinoma (LUSC). We analyzed Reverse Phase Protein Array (RPPA) data of LUSC samples (n = 328) from The Cancer Genome Atlas cohort (TCGA). Univariate Cox regression analysis and the...

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Literature Corpus work: f6537474-8781-5bab-bbf5-6848547ddb30
DOI: 10.21203/rs.3.rs-2671622/v1

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