Author

Songting Shi

Peking UniversityORCID 0000-0002-9149-2455Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Activity by Year

2020-2020 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 28, 2020

Dincta: Data INtegration and Cell Type Annotation of Single Cell Transcriptomes

Songting Shi

Dincta integrates single-cell transcriptomes and annotates cell types across different batches and annotations, preserving cell type information while removing batch effects.

DOI 10.1101/2020.09.28.316901

scRNA-seqstatistical model

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