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MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2117029354

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

About this item

Full title

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2018-10

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Single cell RNA-seq (scRNA-seq) has become the method of choice for analyzing mRNA distributions in heterogeneous cell populations. scRNA-seq only partially samples the cells in a tissue and the RNA in each cell, resulting in sparse data that challenge analysis. We develop a methodology that addresses scRNA-seq's sparsity through partitioning the d...

Alternative Titles

Full title

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2117029354

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2117029354

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/437665