I3: A Self-organising Learning Workflow for Intuitive Integrative Interpretation of Complex Genetic Data.

doi:10.1016/j.gpb.2018.10.006

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Article

I3: A Self-organising Learning Workflow for Intuitive Integrative Interpretation of Complex Genetic Data.

Genomics, proteomics & bioinformatics - 1 Oct 2019

Tan Yun, Jiang Lulu, Wang Kankan, Fang Hai

Abstract excerpt

We propose a computational workflow (I3) for intuitive integrative interpretation of complex genetic data mainly building on the self-organising principle. We illustrate the use in interpreting genetics of gene expression and understanding genetic regulators of protein phenotypes, particularly in conjunction with information from human population genetics and/or evolutionary history of human genes. We reveal that...

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Identifiers

PMID: 31765831
DOI: 10.1016/j.gpb.2018.10.006
PMCID: PMC7056857

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.