Imbalance and Composition Correction Ensemble Learning Framework (ICCELF): A novel framework for automated scRNA-seq cell type annotation
Saishi Cui,
Sina Nassiri,
Issa Zakeri
Abstract: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 proportions within biological samples, and the compositional nature of sequencing-based gene expression … Show more
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