scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

10.1186/s12859-021-04028-4

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Bibliographic Details
Main Authors: Ranjan, Bobby, Schmidt, Florian, Sun, Wenjie, Park, Jinyu, Honardoost, Mohammad Amin, Tan, Joanna, Arul Rayan, Nirmala, Prabhakar, Shyam
Other Authors: MEDICINE
Format: Article
Published: BioMed Central Ltd 2022
Subjects:
Cell type annotation
Clustering
Consensus method
ScRNA-seq
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232637
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/232637

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