Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data

Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data

Abstract Background Understanding cellular and molecular heterogeneity in glioblastoma (GBM), the most common and aggressive primary brain malignancy, is a crucial step towards the development of effective therapies. Besides the inter-patient variability, the presence of multiple cell populations wi...

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Bibliographic Details
Main Authors: Marta B. Lopes, Susana Vinga
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Bioinformatics
Subjects:
Glioblastoma
Sparse logistic regression
Gene network
Twiner
Online Access:http://link.springer.com/article/10.1186/s12859-020-3390-4

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