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Evaluation of some aspects in supervised cell type identification for single-cell RNAseq: Classifier, feature selection, and reference construction

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Cell type identification is one of the most important questions in single-cell RNA sequencing (scRNA-seq) data analysis. With the accumulation of public scRNA-seq data, supervised cell type identification methods have gained increasing popularity due to better accuracy, robustness, and computational performance.

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Nội dung Text: Evaluation of some aspects in supervised cell type identification for single-cell RNAseq: Classifier, feature selection, and reference construction

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