SC3s: efficient scaling of single cell consensus clustering to millions of cells

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: SC3s: efficient scaling of single cell consensus clustering to millions of cells ; volume:23 ; number:1 ; day:12 ; month:12 ; year:2022 ; pages:1-5 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (12.12.2022), 1-5, 12.2022

Creator: Quah, Fu Xiang
Hemberg, Martin

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-022-05085-z

URN: urn:nbn:de:101:1-2023022121022365666130

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Quah, Fu Xiang
Hemberg, Martin
SpringerLink (Online service)

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SC3s: efficient scaling of single cell consensus clustering to millions of cells

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Other Objects (12)

Adapted single-cell consensus clustering (adaSC3)

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Multiresolution Consensus Clustering in Networks

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Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm

Adapted single-cell consensus clustering (adaSC3)

Scaling Up Word Clustering

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

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Multiresolution Consensus Clustering in Networks

Scaling Byzantine Consensus: A Broad Analysis

Consensus clustering for Bayesian mixture models

Implicit consensus clustering from multiple graphs

Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method

Representation learning for clustering via building consensus

Scaling Logic Area With Multitier Standard Cells

Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm

Adapted single-cell consensus clustering (adaSC3)

Scaling Up Word Clustering

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

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Multiresolution Consensus Clustering in Networks

Scaling Byzantine Consensus: A Broad Analysis

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Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm

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