Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets

Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets

Tumors are complex biological entities that comprise cell types of different origins, with different mutational profiles and different patterns of transcriptional dysregulation. The exploration of data related to cancer biology requires careful analytical methods to reflect the heterogeneity of cell...

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Bibliographic Details
Main Authors: Alaina Mahalanabis, Andrei L. Turinsky, Mia Husić, Erik Christensen, Ping Luo, Alaine Naidas, Michael Brudno, Trevor Pugh, Arun K. Ramani, Parisa Shooshtari
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Single-Cell RNA-seq
Cancer
Clustering
Framework
Automated algorithms
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022004767

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http://www.sciencedirect.com/science/article/pii/S2001037022004767

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