ArticleGenetics and molecular biology2021
An integrated approach to identify bimodal genes associated with prognosis in câncer.
Article in Genetics and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Bimodality in pan-cancer proteomics reveals new opportunities for biomarker discovery.Genome biology · 2026Article
- Bimodal Genomic Approach Predicting Semaphorin 7A (SEMA7A) as Prognostic Biomarker in Adrenocortical Carcinoma.Cancers · 2025Article
- Switch-like gene expression modulates disease risk.Nature communications · 2025Article
- Bimodal genomic approach predicting Semaphorin 7A (SEMA7A) as prognostic biomarker in adrenocortical carcinoma.bioRxiv : the preprint server for biology · 2025Article
- mtDNA Single-Nucleotide Variants Associated with Type 2 Diabetes.Current issues in molecular biology · 2023Article
- Cell Decision Making through the Lens of Bayesian Learning.Entropy (Basel, Switzerland) · 2023Article
- Neurocan expression associates with better survival and viral positivity in Merkel cell carcinoma.PloS one · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Bimodal gene expression (where a gene expression distribution has two maxima) is associated with phenotypic diversity in different biological systems. A critical issue, thus, is the integration of expression and phenotype data to identify genuine associations. Here, we developed tools that allow both: i) the identification of genes with bimodal gene expression and ii) their association with prognosis in cancer patients from The Cancer Genome Atlas (TCGA). Bimodality was observed for 554 genes in expression data from 25 tumor types. Furthermore, 96 of these genes presented different prognosis when patients belonging to the two expression peaks were compared. The software to execute the method and the corresponding documentation are available at the Data access section.
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Registered trials
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