GO-PCA: An Unsupervised Method to Explore Biological Heterogeneity Based on Gene Expression and Prior Knowledge

Abstract excerpt

Genome-wide expression profiling is a cost-efficient and widely used method to characterize heterogeneous populations of cells, tissues, biopsies, or other biological specimen. The exploratory analysis of such datasets typically relies on generic unsupervised methods, e.g. principal component analysis or hierarchical clustering. However, generic methods fail to exploit the significant amount of knowledge that exis...

Topics

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• Breast Neoplasms
• Deep Learning
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Mutation
• Neoplasms
• Transcriptome
• Unsupervised Machine Learning

Identifiers and source

Literature Corpus work

18d78c28-001e-5e4f-bcc5-475c6976717c

DOI

10.1101/018705