Article

Benchmarking Machine Learning Models for Cell Type Annotation in Single-Cell vs Single-Nucleus RNA-Seq Data

2025-01-08

Abstract excerpt

<title>Abstract</title> <p>Background Machine learning (ML) models can automate cell annotation and reduce human bias. However, it remains unclear which ML model best suits the characteristics of single-cell RNA sequencing data and whether a trained model can be applied to transcriptomes collected from nuclei rather than whole cells. This study evaluates the performance of eight selected ML models for cell annot...

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Literature Corpus work: 570e94af-b67a-585e-a562-e7752f62ed3c
DOI: 10.21203/rs.3.rs-5754289/v1

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