Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma-Reference-Cited by-同舟云学术

Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma

Published:2019-08-18 Issue:10 Volume:13 Page:2227-2245
ISSN:1574-7891
Container-title:Molecular Oncology
language:en
Short-container-title:Mol Oncol

Author:

Lian Hao¹,Han Yi‐Peng¹,Zhang Yu‐Chao²³,Zhao Yang¹,Yan Shan⁴,Li Qi‐Feng¹,Wang Bao‐Cheng¹,Wang Jia‐Jia¹,Meng Wei¹,Yang Jian¹,Wang Qin‐Hua¹,Mao Wei‐Wei¹,Ma Jie¹^ORCID

Affiliation:

1. Department of Pediatric Neurosurgery Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine China

2. Institute of Health Sciences Shanghai Institutes for Biological Sciences Chinese Academy of Sciences University of Chinese Academy of Sciences Shanghai China

3. School of Life Science Fudan University Shanghai China

4. Huamu Community Health Service Center Shanghai China

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Subject

Cancer Research,Genetics,Molecular Medicine,General Medicine,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/1878-0261.12557

Reference77 articles.

1. Inhibition of the Autophagy Pathway Synergistically Potentiates the Cytotoxic Activity of Givinostat (ITF2357) on Human Glioblastoma Cancer Stem Cells