ArticleNon-coding RNA2017
Detecting Disease Specific Pathway Substructures through an Integrated Systems Biology Approach.
Article in Non-coding RNA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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
17 citing papers in PubMed.
- The Novel Immunocompetent Eµ-SOX11CCND1 Mouse Model Phenotypically and Molecularly Resembles Human Mantle Cell Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Measuring cancer driving force of chromosomal aberrations through multi-layer Boolean implication networks.PloS one · 2024Article
- TMBcalc: a computational pipeline for identifying pan-cancer Tumor Mutational Burden gene signatures.Frontiers in genetics · 2024Article
- The Ratio of Key Metabolic Transcripts Is a Predictive Biomarker of Breast Cancer Metastasis to the Lung.Cancer research · 2023Article
- RAGE inhibition blunts insulin-induced oncogenic signals in breast cancer.Breast cancer research : BCR · 2023Article
- Screening of Precancerous Lesions in Women with Human Papillomavirus (HPV) Infection by Molecular Typing and MicroRNA Analysis.Journal of personalized medicine · 2023Article
- Article
- Tumor relevant protein functional interactions identified using bipartite graph analyses.Scientific reports · 2021Article
- PHENSIM: Phenotype Simulator.PLoS computational biology · 2021Article
- Rapid Identification of Druggable Targets and the Power of the PHENotype SIMulator for Effective Drug Repurposing in COVID-19.Research square · 2021Article
- Topologically inferring active miRNA-mediated subpathways toward precise cancer classification by directed random walk.Molecular oncology · 2019Article
- Article
- Identifying Cancer Specific Driver Modules Using a Network-Based Method.Molecules (Basel, Switzerland) · 2018Article
- RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites.Metabolites · 2018Article
- Article
- Integrative Pathway Analysis of Genes and Metabolites Reveals Metabolism Abnormal Subpathway Regions and Modules in Esophageal Squamous Cell Carcinoma.Molecules (Basel, Switzerland) · 2017Article
- Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis.Frontiers in plant science · 2017Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the era of network medicine, pathway analysis methods play a central role in the prediction of phenotype from high throughput experiments. In this paper, we present a network-based systems biology approach capable of extracting disease-perturbed subpathways within pathway networks in connection with expression data taken from The Cancer Genome Atlas (TCGA). Our system extends pathways with missing regulatory elements, such as microRNAs, and their interactions with genes. The framework enables the extraction, visualization, and analysis of statistically significant disease-specific subpathways through an easy to use web interface. Our analysis shows that the methodology is able to fill the gap in current techniques, allowing a more comprehensive analysis of the phenomena underlying disease states.
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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.