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

Abstract excerpt

Numerous Pre-trained cell foundation models (CFM) have been crafted 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, particularly in cancer diagnosis...

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

1ca904dc-22ea-555b-8415-4c44a01f814b

DOI

10.1101/2024.06.27.601098