ArticleCancer informatics2010
Bimodal gene expression and biomarker discovery.
Article in Cancer informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- OPG and PgR show similar cohort specific effects as prognostic factors in ER positive breast cancer.Molecular oncology · 2014Pooled it
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- 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
- Twenty Year History of Cancer Informatics (CiX) - A Long and Established Legacy of Quality Research and Scientific Advances in the Field of Oncology.Cancer informatics · 2025Article
- A new class of weighted bimodal distribution with application to gamma-ray burst duration data.Journal of applied statistics · 2020Article
- miR-625-3p and lncRNA GAS5 in Liquid Biopsies for Predicting the Outcome of Malignant Pleural Mesothelioma Patients Treated with Neo-Adjuvant Chemotherapy and Surgery.Non-coding RNA · 2019Article
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- Evidence for a stromal-epithelial "lactate shuttle" in human tumors: MCT4 is a marker of oxidative stress in cancer-associated fibroblasts.Cell cycle (Georgetown, Tex.) · 2011Article
- Molecular profiling of a lethal tumor microenvironment, as defined by stromal caveolin-1 status in breast cancers.Cell cycle (Georgetown, Tex.) · 2011Article
- A comparison of methods for data-driven cancer outlier discovery, and an application scheme to semisupervised predictive biomarker discovery.Cancer informatics · 2011Article
- Ketones and lactate increase cancer cell "stemness," driving recurrence, metastasis and poor clinical outcome in breast cancer: achieving personalized medicine via Metabolo-Genomics.Cell cycle (Georgetown, Tex.) · 2011Article
- MMP1 bimodal expression and differential response to inflammatory mediators is linked to promoter polymorphisms.BMC genomics · 2011Article
- Expression a la bimode.Cancer informatics · 2010Article
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No grant is acknowledged in the PubMed record.
Abstract
With insights gained through molecular profiling, cancer is recognized as a heterogeneous disease with distinct subtypes and outcomes that can be predicted by a limited number of biomarkers. Statistical methods such as supervised classification and machine learning identify distinguishing features associated with disease subtype but are not necessarily clear or interpretable on a biological level. Genes with bimodal transcript expression, however, may serve as excellent candidates for disease biomarkers with each mode of expression readily interpretable as a biological state. The recent article by Wang et al, entitled "The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data," provides a bimodality index for identifying and scoring transcript expression profiles as biomarker candidates with the benefit of having a direct relation to power and sample size. This represents an important step in candidate biomarker discovery that may help streamline the pipeline through validation and clinical application.
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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.