ArticleScientific reports2016
Discovering gene re-ranking efficiency and conserved gene-gene relationships derived from gene co-expression network analysis on breast cancer data.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Insight into Mantle Cell Lymphoma Pathobiology, Diagnosis, and Treatment Using Network-Based and Drug-Repurposing Approaches.International journal of molecular sciences · 2024Article
- Repurposable Drugs for Immunotherapy and Strategies to Find Candidate Drugs.Pharmaceutics · 2023Review
- Computationally repurposing drugs for breast cancer subtypes using a network-based approach.BMC bioinformatics · 2022Article
- Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing.Patterns (New York, N.Y.) · 2022Article
- Drug Repositioning and Subgroup Discovery for Precision Medicine Implementation in Triple Negative Breast Cancer.Cancers · 2021Article
- Human microRNA similarity in breast cancer.Bioscience reports · 2021Article
- Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer.Scientific reports · 2021Article
- Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform.PLoS biology · 2020Article
- Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Briefings in bioinformatics · 2019Review
- Associating expression and genomic data using co-occurrence measures.Biology direct · 2019Article
- Functional transcriptomic annotation and protein-protein interaction network analysis identify NEK2, BIRC5, and TOP2A as potential targets in obese patients with luminal A breast cancer.Breast cancer research and treatment · 2018Article
- Article
- Informed walks: whispering hints to gene hunters inside networks' jungle.BMC systems biology · 2017Article
- Drug repurposing in idiopathic pulmonary fibrosis filtered by a bioinformatics-derived composite score.Scientific reports · 2017Article
- Benchmarking selected computational gene network growing tools in context of virus-host interactions.Scientific reports · 2017Article
- Differential Regulatory Analysis Based on Coexpression Network in Cancer Research.BioMed research international · 2016Review
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Systemic approaches are essential in the discovery of disease-specific genes, offering a different perspective and new tools on the analysis of several types of molecular relationships, such as gene co-expression or protein-protein interactions. However, due to lack of experimental information, this analysis is not fully applicable. The aim of this study is to reveal the multi-potent contribution of statistical network inference methods in highlighting significant genes and interactions. We have investigated the ability of statistical co-expression networks to highlight and prioritize genes for breast cancer subtypes and stages in terms of: (i) classification efficiency, (ii) gene network pattern conservation, (iii) indication of involved molecular mechanisms and (iv) systems level momentum to drug repurposing pipelines. We have found that statistical network inference methods are advantageous in gene prioritization, are capable to contribute to meaningful network signature discovery, give insights regarding the disease-related mechanisms and boost drug discovery pipelines from a systems point of view.
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