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Imbalance and Composition Correction Ensemble Learning Framework (ICCELF): A novel framework for automated scRNA-seq cell type annotation

2024-04-26

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) has gained broad utility and success in revealing novel biological insight in preclinical and clinical investigations. Cell type annotation remains a key analysis task with great influence on downstream interpretation of scRNA-seq data. Traditional machine learning approaches proposed for automated cell type annotation often overlook the inherent imbalance of cell type propor...

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Literature Corpus work
f52f40a6-62ac-57f7-93fd-cb566d7e80e5
DOI
10.1101/2024.04.21.590442
Open publication

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Imbalance and Composition Correction Ensemble Learning Framework (ICCELF): A novel framework for automated scRNA-seq cell type annotationDOI 10.1101/2024.04.21.590442
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