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

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

Abstract 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 l...

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Bibliographic Details
Main Authors: Marmar Moussa, Ion I. Măndoiu
Format: Article
Language:English
Published: BioMed Central 2018-08-01
Series:BMC Genomics
Subjects:
Single cell RNA-Seq
Clustering
TF-IDF
Online Access:http://link.springer.com/article/10.1186/s12864-018-4922-4

Internet

http://link.springer.com/article/10.1186/s12864-018-4922-4

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