CAT Bridge: An Efficient Toolkit for Gene-Metabolite Association Mining from Multi-Omics Data

Abstract excerpt

<h4>Background</h4> With advancements in sequencing and mass spectrometry technologies, multi-omics data can now be easily acquired for understanding complex biological systems. Nevertheless, substantial challenges remain in determining the association between gene-metabolite pairs due to the non-linear and multifactorial interactions within cellular networks. The complexity arises from the interplay of multiple...

Topics

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• Algorithms
• Biological Evolution
• Cluster Analysis
• Gene Regulatory Networks
• Machine Learning
• Plant biochemistry and biosynthesis
• Software
• Transcriptome

Identifiers and source

Literature Corpus work

178cfbb1-cd99-5684-92f2-25cee962021d

DOI

10.1101/2024.01.21.576587