GeneBag: training a cell foundation model for broad-spectrum cancer diagnosis and prognosis with bulk RNA-seq data

Abstract excerpt

<title>Abstract</title> <p>Numerous Pre-trained cell foundation models (CFM) have been developed to encapsulate the comprehensive gene-gene interaction network within cells, leveraging extensive single-cell sequencing data. These models have shown promise in various cell biology applications, including cell type annotation, perturbation inference, and cell state embedding, etc. However, their clinical utility, pa...

Topics

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• Aging
• Cluster Analysis
• COVID-19
• Deep Learning
• Leukocytes, Mononuclear
• Phenotype
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis

Identifiers and source

Literature Corpus work

60a01def-d856-51ab-bdc5-c46d70714061

DOI

10.21203/rs.3.rs-5720342/v1