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Single cell RNA-seq data clustering using TF-IDF based methods

BACKGROUND: Single cell transcriptomics is critical for understanding cellular heterogeneity and identification of novel cell types. Leveraging the recent advances in single cell RNA sequencing (scRNA-Seq) technology requires novel unsupervised clustering algorithms that are robust to high levels of...

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Detalles Bibliográficos
Autores principales:	Moussa, Marmar, Măndoiu, Ion I.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101073/ https://www.ncbi.nlm.nih.gov/pubmed/30367575 http://dx.doi.org/10.1186/s12864-018-4922-4

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