ArticleNucleic acids research2019
HumanNet v2: human gene networks for disease research.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.
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Who cites it
90 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of the Application of Graph Neural Networks to Extract Candidate Genes and Biological Associations.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025Pooled it
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- Improving computational drug repositioning through multi-source disease similarity networks.Scientific reports · 2025Article
- Multiomic Network Analysis Identifies Dysregulated Neurobiological Pathways in Opioid Addiction.Biological psychiatry · 2025Article
- Prior vaccination prevents overactivation of innate immune responses during COVID-19 breakthrough infection.Science translational medicine · 2025Article
- Big Data and Artificial Intelligence in Drug Discovery for Gastric Cancer: Current Applications and Future Perspectives.Current medicinal chemistry · 2025Review
- BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders.Frontiers in genetics · 2025Article
- AEmiGAP: AutoEncoder-Based miRNA-Gene Association Prediction Using Deep Learning Method.International journal of molecular sciences · 2024Article
- Bioassay-guided isolation and in Silico characterization of cytotoxic compounds from Hemimycale sp. Sponge targeting A549 lung cancer cells.BMC chemistry · 2024Article
- Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior.Communications biology · 2024Article
- Europeans and Americans of European origin show differences between their biological pathways related to the major histocompatibility complex.Scientific reports · 2024Article
- Drug repurposing for Parkinson's disease by biological pathway based edge-weighted network proximity analysis.Scientific reports · 2024Article
- HGTMDA: A Hypergraph Learning Approach with Improved GCN-Transformer for miRNA-Disease Association Prediction.Bioengineering (Basel, Switzerland) · 2024Article
- Kernel Bayesian logistic tensor decomposition with automatic rank determination for predicting multiple types of miRNA-disease associations.PLoS computational biology · 2024Article
- Evaluation of single-sample network inference methods for precision oncology.NPJ systems biology and applications · 2024Article
- An atlas of cell-type-specific interactome networks across 44 human tumor types.Genome medicine · 2024Article
- Exploring gene-patient association to identify personalized cancer driver genes by linear neighborhood propagation.BMC bioinformatics · 2024Article
- A protein-protein interaction analysis tool for targeted cross-linking mass spectrometry.Scientific reports · 2023Article
30 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
Human gene networks have proven useful in many aspects of disease research, with numerous network-based strategies developed for generating hypotheses about gene-disease-drug associations. The ability to predict and organize genes most relevant to a specific disease has proven especially important. We previously developed a human functional gene network, HumanNet, by integrating diverse types of omics data using Bayesian statistics framework and demonstrated its ability to retrieve disease genes. Here, we present HumanNet v2 (http://www.inetbio.org/humannet), a database of human gene networks, which was updated by incorporating new data types, extending data sources and improving network inference algorithms. HumanNet now comprises a hierarchy of human gene networks, allowing for more flexible incorporation of network information into studies. HumanNet performs well in ranking disease-linked gene sets with minimal literature-dependent biases. We observe that incorporating model organisms' protein-protein interactions does not markedly improve disease gene predictions, suggesting that many of the disease gene associations are now captured directly in human-derived datasets. With an improved interactive user interface for disease network analysis, we expect HumanNet will be a useful resource for network medicine.
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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 Socratic graph.