Gating mass cytometry data by deep learning-Reference-Cited by-同舟云学术

Gating mass cytometry data by deep learning

Published:2017-07-13 Issue:21 Volume:33 Page:3423-3430
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Li Huamin¹,Shaham Uri²,Stanton Kelly P³,Yao Yi⁴,Montgomery Ruth R⁴,Kluger Yuval¹³⁵

Affiliation:

1. Applied Mathematics Program, Yale University, 51 Prospect Street, New Haven, CT, USA

2. Department of Statistics, Yale University, 51 Prospect Street, New Haven, CT, USA

3. Department of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA

4. Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA

5. Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA

Funder

NIH

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/21/3423/25166108/btx448.pdf

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4. A theory of learning from different domains;Ben-David;Mach. Learn,2010

5. Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum;Bendall;Science,2011

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