Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method

Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method

Abstract Background Human cancers are complex ecosystems composed of cells with distinct molecular signatures. Such intratumoral heterogeneity poses a major challenge to cancer diagnosis and treatment. Recent advancements of single-cell techniques such as scRNA-seq have brought unprecedented insight...

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Bibliographic Details
Main Authors: Yanglan Gan, Ning Li, Guobing Zou, Yongchang Xin, Jihong Guan
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Genomics
Subjects:
Consensus clustering
Intratumoral heterogeneity
Cancer subtypes
Single-cell sequencing
Online Access:http://link.springer.com/article/10.1186/s12920-018-0433-z

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http://link.springer.com/article/10.1186/s12920-018-0433-z

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