文献
J-GLOBAL ID:201702268490199691
整理番号:17A0317450
微小環境キューに関連した細胞形状表現型を同定するための機械学習ベースの方法論【Powered by NICT】
Machine learning based methodology to identify cell shape phenotypes associated with microenvironmental cues
著者 (11件):
Chen Desu
(Biophysics Program, University of Maryland, College Park, MD, United States)
,
Sarkar Sumona
(Biosystems & Biomaterials Division, National Institute of Standards & Technology, Gaithersburg, MD, United States)
,
Candia Julian
(Department of Physics, University of Maryland, College Park, MD, United States)
,
Candia Julian
(School of Medicine, University of Maryland, Baltimore, MD, United States)
,
Candia Julian
(Center for Human Immunology, National Institutes of Health, Bethesda, MD, United States)
,
Florczyk Stephen J.
(Biosystems & Biomaterials Division, National Institute of Standards & Technology, Gaithersburg, MD, United States)
,
Bodhak Subhadip
(Biosystems & Biomaterials Division, National Institute of Standards & Technology, Gaithersburg, MD, United States)
,
Driscoll Meghan K.
(Department of Physics, University of Maryland, College Park, MD, United States)
,
Simon Carl G.
(Biosystems & Biomaterials Division, National Institute of Standards & Technology, Gaithersburg, MD, United States)
,
Dunkers Joy P.
(Biosystems & Biomaterials Division, National Institute of Standards & Technology, Gaithersburg, MD, United States)
,
Losert Wolfgang
(Department of Physics, University of Maryland, College Park, MD, United States)
資料名:
Biomaterials
(Biomaterials)
巻:
104
ページ:
104-118
発行年:
2016年
JST資料番号:
C0964B
ISSN:
0142-9612
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)