Hyperbolic geometry of gene expression

Abstract excerpt

Understanding the patterns of gene expression is key to elucidating the differences between cell types and across disease conditions. The overwhelmingly large number of genes involved generally makes this problem intractable. Yet, we find that gene expression patterns in five different data datasets can all be described using a small number of variables. These variables describe differences between cells according...

Topics

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• Algorithms
• Cell Lineage
• Cell Transdifferentiation
• Drosophila
• Gene Regulatory Networks
• Phenotype
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis

Identifiers and source

Literature Corpus work

4be436f9-1638-52f7-88e5-bc3229f559f6

DOI

10.1101/2020.08.27.270264