ArticleFrontiers in genetics2021
Gene Targeting in Disease Networks.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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Who cites it
22 citing papers in PubMed.
- BLOBFISH: bipartite limited subnetworks from multiple observations using breadth-first search with constrained hops.Bioinformatics (Oxford, England) · 2026Article
- Leiomodin 1 deficiency promotes lipid accumulation and redirects gene regulatory programs in smooth muscle cells exposed to oxidized LDL.Research square · 2026Article
- Genomic, Transcriptomic, and Regulomic Analyses Do Not Support Profound Autism as a Distinct Biological Category.bioRxiv : the preprint server for biology · 2026Article
- Gene regulatory network analysis identifies dysregulation of hypoxia pathways as contributing to glioblastoma treatment resistance in females.Biology of sex differences · 2026Article
- Gene regulatory network analysis identifies dysregulation of hypoxia pathways as contributing to glioblastoma multiforme treatment resistance in females.medRxiv : the preprint server for health sciences · 2026Article
- Data-driven universal insights into tumorigenesis via hallmark networks.NPJ systems biology and applications · 2025Article
- Gene regulatory network integration with multi-omics data enhances survival predictions in cancer.Briefings in bioinformatics · 2025Article
- Evaluation of altered cell-cell communication between glia and neurons in the hippocampus of 3xTg-AD mice at two time points.Journal of cell communication and signaling · 2025Article
- Reproducible processing of TCGA regulatory networks.GigaScience · 2025Article
- From gene modules to gene markers: an integrated AI-human approach selects CD38 to represent plasma cell-associated transcriptional signatures.Frontiers in medicine · 2025Article
- Multimorbidity, comorbidity, frailty, and venous thromboembolism.Haematologica · 2024Review
- Evaluation of altered cell-cell communication between glia and neurons in the hippocampus of 3xTg-AD mice at two time points.bioRxiv : the preprint server for biology · 2024Article
- Transcriptome data are insufficient to control false discoveries in regulatory network inference.Cell systems · 2024Article
- node2vec2rank: Large Scale and Stable Graph Differential Analysis via Multi-Layer Node Embeddings and Ranking.bioRxiv : the preprint server for biology · 2024Article
- A new suite of reporter vectors and a novel landing site survey system to study cis-regulatory elements in diverse insect species.Scientific reports · 2024Article
- Integrated analysis of lncRNA and mRNA expression profiles in cutaneous leishmaniasis lesions caused byFrontiers in cellular and infection microbiology · 2024Article
- Current and future directions in network biology.Bioinformatics advances · 2024Article
- Heterogeneity in the gene regulatory landscape of leiomyosarcoma.NAR cancer · 2023Article
- The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks.Genome biology · 2023Article
- Understanding blood development and leukemia using sequencing-based technologies and human cell systems.Frontiers in molecular biosciences · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Profiling of whole transcriptomes has become a cornerstone of molecular biology and an invaluable tool for the characterization of clinical phenotypes and the identification of disease subtypes. Analyses of these data are becoming ever more sophisticated as we move beyond simple comparisons to consider networks of higher-order interactions and associations. Gene regulatory networks (GRNs) model the regulatory relationships of transcription factors and genes and have allowed the identification of differentially regulated processes in disease systems. In this perspective, we discuss gene targeting scores, which measure changes in inferred regulatory network interactions, and their use in identifying disease-relevant processes. In addition, we present an example analysis for pancreatic ductal adenocarcinoma (PDAC), demonstrating the power of gene targeting scores to identify differential processes between complex phenotypes, processes that would have been missed by only performing differential expression analysis. This example demonstrates that gene targeting scores are an invaluable addition to gene expression analysis in the characterization of diseases and other complex phenotypes.
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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 OpenQuestion graph.