mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery

Yuqing Yang; Ning Chen; Ting Chen

doi:10.1101/042630

Article Information

doi

https://doi.org/10.1101/042630

History

March 7, 2016.

The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

Yuqing Yang1,2,
Ning Chen1,* and
Ting Chen1,2,3,4,*

¹Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST, China
²Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
³State Key Lab of Intelligent Technology and Systems, Tsinghua University, Beijing 100084 China
⁴Program in Computational Biology and Bioinfomatics, University of Southern California, CA 90089 USA

↵*Corresponding authors: Ting Chen (tingchen{at}tsinghua.edu.cn) and Ning Chen (ningchen{at}tsinghua.edu.cn)
†This work is supported by the National Natural Science Foundation of China (Nos: 61305066, 61561146396, 61322308)