TOBMI: trans-omics block missing data imputation using a k-nearest neighbor weighted approach-Reference-Cited by-同舟云学术

TOBMI: trans-omics block missing data imputation using a k-nearest neighbor weighted approach

Published:2018-09-08 Issue:8 Volume:35 Page:1278-1283
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Dong Xuesi¹²,Lin Lijuan¹,Zhang Ruyang¹³,Zhao Yang¹³,Christiani David C³⁴,Wei Yongyue¹³,Chen Feng¹³

Affiliation:

1. Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China

2. Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China

3. China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China

4. Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA

Funder

National Natural Science Foundation of China

National Key Project of Research and Development Program

Academic Program Development of Jiangsu Higher Education Institutions

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/35/8/1278/28500728/bty796.pdf

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