ArticleGenome biology2016
CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types.
Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Comparative evaluation of reference-free transcriptomic deconvolution highlights the importance of biological validation in astrocytes across Alzheimer's disease.Frontiers in bioinformatics · 2026Article
- Incubation with porcine urinary bladder matrix yields a late-stage wound transcriptome in endothelial cells and keratinocytes isolated from both diabetic and non-diabetic subjects.Experimental dermatology · 2023Article
- Robust and rigorous identification of tissue-specific genes by statistically extending tau score.BioData mining · 2022Article
- Small-molecule modulators of INAVA cytosolic condensate and cell-cell junction assemblies.The Journal of cell biology · 2021Article
- Deep Large-Scale Multitask Learning Network for Gene Expression Inference.Journal of computational biology : a journal of computational molecular cell biology · 2021Article
- A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples.BMC genomics · 2020Article
- Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets.International journal of molecular sciences · 2019Review
- Article
- The Transcriptional Landscape of Microglial Genes in Aging and Neurodegenerative Disease.Frontiers in immunology · 2019Article
- Article
- Conditional generative adversarial network for gene expression inference.Bioinformatics (Oxford, England) · 2018Article
- The mechanistic implications of gene expression studies in SSc: Insights from Systems Biology.Current treatment options in rheumatology · 2017Article
- A targeted RNAi screen identifies factors affecting diverse stages of receptor-mediated transcytosis.The Journal of cell biology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
We present a sensitive approach to predict genes expressed selectively in specific cell types, by searching publicly available expression data for genes with a similar expression profile to known cell-specific markers. Our method, CellMapper, strongly outperforms previous computational algorithms to predict cell type-specific expression, especially for rare and difficult-to-isolate cell types. Furthermore, CellMapper makes accurate predictions for human brain cell types that have never been isolated, and can be rapidly applied to diverse cell types from many tissues. We demonstrate a clinically relevant application to prioritize candidate genes in disease susceptibility loci identified by GWAS.
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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.