CrossRef Text and Data Mining
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A semi-automatic cell type annotation method for single-cell RNA sequencing dataset
Wan Kim, Sung Min Yoon, Sangsoo Kim
Genomics Inform. 2020;18(3):e26  Published online September 8, 2020
DOI: https://doi.org/10.5808/GI.2020.18.3.e26

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A semi-automatic cell type annotation method for single-cell RNA sequencing dataset
Genomics & Informatics. 2020;18(3):e26   Crossref logo
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CALLR: a semi-supervised cell-type annotation method for single-cell RNA sequencing data
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Automatic cell type identification methods for single-cell RNA sequencing
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SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data
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netAE: semi-supervised dimensionality reduction of single-cell RNA sequencing to facilitate cell labeling
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scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
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Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling
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Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods
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gCAnno: a graph-based single cell type annotation method
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gCAnno: A Graph-based Single Cell Type Annotation Method
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