文献
J-GLOBAL ID:201702215840478273
整理番号:17A1130889
人工ニューラルネットワークおよび次世代シークエンシングを用いたDNAメチル化ベース法医学的年齢予測【Powered by NICT】
DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing
著者 (6件):
Vidaki Athina
(Department of Pharmacy and Forensic Science, King’s College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK)
,
Ballard David
(Department of Pharmacy and Forensic Science, King’s College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK)
,
Aliferi Anastasia
(Department of Pharmacy and Forensic Science, King’s College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK)
,
Miller Thomas H.
(Department of Pharmacy and Forensic Science, King’s College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK)
,
Barron Leon P.
(Department of Pharmacy and Forensic Science, King’s College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK)
,
Syndercombe Court Denise
(Department of Pharmacy and Forensic Science, King’s College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK)
資料名:
Forensic Science International: Genetics
(Forensic Science International: Genetics)
巻:
28
ページ:
225-236
発行年:
2017年
JST資料番号:
W3148A
ISSN:
1872-4973
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)