An interpretable framework for clustering single-cell RNA-Seq datasets

An interpretable framework for clustering single-cell RNA-Seq datasets

Abstract Background With the recent proliferation of single-cell RNA-Seq experiments, several methods have been developed for unsupervised analysis of the resulting datasets. These methods often rely on unintuitive hyperparameters and do not explicitly address the subjectivity associated with cluste...

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Bibliographic Details
Main Authors: Jesse M. Zhang, Jue Fan, H. Christina Fan, David Rosenfeld, David N. Tse
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Single-cell RNA-seq
Clustering
Feature selection
Interpretability
Online Access:http://link.springer.com/article/10.1186/s12859-018-2092-7

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http://link.springer.com/article/10.1186/s12859-018-2092-7

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