ArticleBriefings in bioinformatics2022
Estimating cell type-specific differential expression using deconvolution.
Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Integrated inference of cellular compositions and gene expression programs by deconvolution.Cell regeneration (London, England) · 2026Article
- Transcriptomics of type 1 diabetes progression: a validation study in newly diagnosed patients.EBioMedicine · 2026Article
- Novel differentially expressed genes and multiple biological pathways for Alzheimer's disease identified in brain tissue from African American donors.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- An improved reference library and method for accurate cell-type deconvolution of bulk-tissue miRNA data.Nature communications · 2025Article
- Cell-type-specific subtyping of epigenomes improves prognostic stratification of cancer.Genome medicine · 2025Article
- A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue.Briefings in bioinformatics · 2025Article
- Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data.Journal of the American Statistical Association · 2024Article
- A comprehensive assessment of cell type-specific differential expression methods in bulk data.Briefings in bioinformatics · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
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Identifiers
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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.