{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["33(20)"],"submitter":["Chlis NK"],"pubmed_abstract":["Motivation
The identification of heterogeneities in cell populations by utilizing single-cell technologies such as single-cell RNA-Seq, enables inference of cellular development and lineage trees. Several methods have been proposed for such inference from high-dimensional single-cell data. They typically assign each cell to a branch in a differentiation trajectory. However, they commonly assume specific geometries such as tree-like developmental hierarchies and lack statistically sound methods to decide on the number of branching events.Results
We present K-Branches, a solution to the above problem by locally fitting half-lines to single-cell data, introducing a clustering algorithm similar to K-Means. These halflines are proxies for branches in the differentiation trajecto"],"journal":["Bioinformatics (Oxford, England)"],"pagination":["3211-3219"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5860029"],"repository":["biostudies-literature"],"pubmed_title":["Model-based branching point detection in single-cell data by K-branches clustering."],"pmcid":["PMC5860029"],"pubmed_authors":["Wolf FA","Chlis NK","Theis FJ"],"additional_accession":[]},"is_claimable":false,"name":"Model-based branching point detection in single-cell data by K-branches clustering.","description":"Motivation
The identification of heterogeneities in cell populations by utilizing single-cell technologies such as single-cell RNA-Seq, enables inference of cellular development and lineage trees. Several methods have been proposed for such inference from high-dimensional single-cell data. They typically assign each cell to a branch in a differentiation trajectory. However, they commonly assume specific geometries such as tree-like developmental hierarchies and lack statistically sound methods to decide on the number of branching events.Results
We present K-Branches, a solution to the above problem by locally fitting half-lines to single-cell data, introducing a clustering algorithm similar to K-Means. These halflines are proxies for branches in the differentiation trajecto","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Oct","modification":"2026-05-03T06:40:49.758Z","creation":"2019-03-26T23:46:32Z"},"accession":"S-EPMC5860029","cross_references":{"pubmed":["28582478"],"doi":["10.1093/bioinformatics/btx325"]}}