ArticleCell reports methods2023
EpiMix is an integrative tool for epigenomic subtyping using DNA methylation.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Integrative DNA methylation and transcriptome analysis reveal cell-type specific patterns in response to elevated allostatic load.Epigenetics · 2025Article
- Response to Antiangiogenic Therapy Is Associated with AIMP Protein Family Expression in Glioblastoma and Lower-Grade Gliomas.Cancer research communications · 2025Article
- Epigenetic Alterations in Hepatocellular Carcinoma: Mechanisms, Biomarkers, and Therapeutic Implications.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight.PLoS computational biology · 2025Article
- regionalpcs improve discovery of DNA methylation associations with complex traits.Nature communications · 2025Article
- Digital profiling of gene expression from histology images with linearized attention.Nature communications · 2024Article
- Elucidating Cancer Subtypes by Using the Relationship between DNA Methylation and Gene Expression.Genes · 2024Article
- Article
- Digital profiling of cancer transcriptomes from histology images with grouped vision attention.bioRxiv : the preprint server for biology · 2024Article
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4 authors at 1 institution in 1 country.
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Abstract
DNA methylation (DNAme) is a major epigenetic factor influencing gene expression with alterations leading to cancer and immunological and cardiovascular diseases. Recent technological advances have enabled genome-wide profiling of DNAme in large human cohorts. There is a need for analytical methods that can more sensitively detect differential methylation profiles present in subsets of individuals from these heterogeneous, population-level datasets. We developed an end-to-end analytical framework named "EpiMix" for population-level analysis of DNAme and gene expression. Compared with existing methods, EpiMix showed higher sensitivity in detecting abnormal DNAme that was present in only small patient subsets. We extended the model-based analyses of EpiMix to
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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.