CAMO: A molecular congruence analysis framework for evaluating model organisms

Abstract excerpt

<h4>ABSTRACT</h4> CAMO provides a rigorous and user-friendly solution for quantification and mechanistic exploration of omics congruence in model organisms and humans. It performs threshold-free differential analysis, quantitative concordance/discordance scoring, pathway-centric investigation, and topological subnetwork detection. Instead of dichotomous claims of “poorly” or “greatly” mimicking humans, CAMO facil...

Topics

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• Computational Biology
• Computer Simulation
• Data Mining
• Gene Expression
• Gene Expression Profiling
• Gene Regulatory Networks
• Genomics
• Oligonucleotide Array Sequence Analysis

Identifiers and source

Literature Corpus work

aa325555-452c-5156-ab86-8c66f095bb73

DOI

10.1101/2021.11.21.469371