Predicting chromosome 1p/19q codeletion by RNA expression profile: a comparison of current prediction models
Author(s) -
Zhiliang Wang,
Zheng Zhao,
Zheng Wang,
Chuanbao Zhang,
Tao Jiang
Publication year - 2019
Publication title -
aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 90
ISSN - 1945-4589
DOI - 10.18632/aging.101795
Subject(s) - cohort , oncology , medicine , glioma , chromosome , clinical practice , computational biology , bioinformatics , biology , genetics , gene , cancer research , physical therapy
Chromosome 1p/19q codeletion is increasingly being recognized as the crucial genetic marker for glioma patients and have been included in WHO classification of glioma in 2016. Fluorescent in situ hybridization, a widely used method in detecting 1p/19q status, has some methodological limitations which might influence the clinical management for doctors. Here, we attempted to explore an RNA sequencing computational method to detect 1p/19q status.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom