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

10.1186/s12859-021-04028-4

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-232637
record_format	dspace
spelling	sg-nus-scholar.10635-2326372024-04-17T08:40:14Z scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data Ranjan, Bobby Schmidt, Florian Sun, Wenjie Park, Jinyu Honardoost, Mohammad Amin Tan, Joanna Arul Rayan, Nirmala Prabhakar, Shyam MEDICINE Cell type annotation Clustering Consensus method ScRNA-seq 10.1186/s12859-021-04028-4 BMC Bioinformatics 22 1 186 2022-10-12T10:04:00Z 2022-10-12T10:04:00Z 2021-04-12 Article Ranjan, Bobby, Schmidt, Florian, Sun, Wenjie, Park, Jinyu, Honardoost, Mohammad Amin, Tan, Joanna, Arul Rayan, Nirmala, Prabhakar, Shyam (2021-04-12). scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data. BMC Bioinformatics 22 (1) : 186. ScholarBank@NUS Repository. https://doi.org/10.1186/s12859-021-04028-4 1471-2105 https://scholarbank.nus.edu.sg/handle/10635/232637 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ BioMed Central Ltd Scopus OA2021
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Cell type annotation Clustering Consensus method ScRNA-seq
spellingShingle	Cell type annotation Clustering Consensus method ScRNA-seq Ranjan, Bobby Schmidt, Florian Sun, Wenjie Park, Jinyu Honardoost, Mohammad Amin Tan, Joanna Arul Rayan, Nirmala Prabhakar, Shyam scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data
description	10.1186/s12859-021-04028-4
author2	MEDICINE
author_facet	MEDICINE Ranjan, Bobby Schmidt, Florian Sun, Wenjie Park, Jinyu Honardoost, Mohammad Amin Tan, Joanna Arul Rayan, Nirmala Prabhakar, Shyam
format	Article
author	Ranjan, Bobby Schmidt, Florian Sun, Wenjie Park, Jinyu Honardoost, Mohammad Amin Tan, Joanna Arul Rayan, Nirmala Prabhakar, Shyam
author_sort	Ranjan, Bobby
title	scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data
title_short	scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data
title_full	scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data
title_fullStr	scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data
title_full_unstemmed	scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data
title_sort	scconsensus: combining supervised and unsupervised clustering for cell type identification in single-cell rna sequencing data
publisher	BioMed Central Ltd
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/232637
_version_	1800915626409066496

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

Similar Items