Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application-Reference-Cited by-同舟云学术

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Published:2019-03-06 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Park Hosub,Chun Sung-Min,Shim Jooyong,Oh Ji-Hye^ORCID,Cho Eun Jeong^ORCID,Hwang Hee Sang^ORCID,Lee Ji-Young,Kim Deokhoon,Jang Se Jin,Nam Soo Jeong,Hwang Changha,Sohn Insuk,Sung Chang Ohk

Funder

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-40364-5.pdf

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5. Jeon, Y. K. et al. Chromosome 1p and 19q status and p53 and p16 expression patterns as prognostic indicators of oligodendroglial tumors: a clinicopathological study using fluorescence in situ hybridization. Neuropathology: official journal of the Japanese Society of Neuropathology 27, 10–20 (2007).

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