ArticleGenomics, proteomics & bioinformatics2019
I3: A Self-organising Learning Workflow for Intuitive Integrative Interpretation of Complex Genetic Data.
Article in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Early assessment of the safety and immunogenicity of a third dose (booster) of COVID-19 immunization in Chinese adults.Frontiers of medicine · 2022Trial
- A computational medicine framework integrating multi-omics, systems biology, and artificial neural networks for Alzheimer's disease therapeutic discovery.Acta pharmaceutica Sinica. B · 2025Article
- OLFML3 Promotes IRG1 Mitochondrial Localization and Modulates Mitochondrial Function in Macrophages.International journal of biological sciences · 2025Article
- A cross-disease, pleiotropy-driven approach for therapeutic target prioritization and evaluation.Cell reports methods · 2024Article
- Priority index for critical Covid-19 identifies clinically actionable targets and drugs.Communications biology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 loss-of-function intolerant genes tend to be depleted of tissue-sharing genetics of gene expression in brains, and if highly expressed, have broad effects on the protein phenotypes studied. We suggest that this workflow presents a general solution to the challenge of complex genetic data interpretation. I3 is available at http://suprahex.r-forge.r-project.org/I3.html.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.