{"title":"Estimating uncertainty in reference-based cell type annotation in single-cell genomics","authors":"","doi":"10.1038/s41588-024-01995-1","DOIUrl":null,"url":null,"abstract":"PopV is an ensemble method for cell type labeling in single-cell genomics. A Cell Ontology-inspired voting procedure across different algorithms highlights low confidence annotations, thereby guiding human-in-the loop components of the annotation process.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"12 1","pages":""},"PeriodicalIF":31.7000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41588-024-01995-1","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
PopV is an ensemble method for cell type labeling in single-cell genomics. A Cell Ontology-inspired voting procedure across different algorithms highlights low confidence annotations, thereby guiding human-in-the loop components of the annotation process.
期刊介绍：
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution
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