ArticleGenome research2022
De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens.
Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Mini-Galaxy: Rethinking Complex Human Diseases Through the Lens of Systems Biology and Multilayered AI Network Perspectives.International journal of molecular sciences · 2026Review
- Advancing understanding of long COVID pathophysiology through quantum walk-based network analysis.Bioinformatics advances · 2026Article
- Transcriptomic analysis reveals lung cancer and subtype-specific alternative splicing biomarkers regulated by RNA-binding proteins.Molecular therapy. Nucleic acids · 2025Article
- Multiorgan locked-state model of chronic diseases and systems pharmacology opportunities.Drug discovery today · 2024Review
- Exploring the Potential of Nanogels: From Drug Carriers to Radiopharmaceutical Agents.Advanced healthcare materials · 2024Review
- Open MoA: revealing the mechanism of action (MoA) based on network topology and hierarchy.Bioinformatics (Oxford, England) · 2023Article
- Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms.Pharmaceuticals (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Current understandings of individual disease etiology and therapeutics are limited despite great need. To fill the gap, we propose a novel computational pipeline that collects potent disease gene cooperative pathways to envision individualized disease etiology and therapies. Our algorithm constructs individualized disease modules de novo, which enables us to elucidate the importance of mutated genes in specific patients and to understand the synthetic penetrance of these genes across patients. We reveal that importance of the notorious cancer drivers
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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.