LSMM specifications


Unique identifier OMICS_28268
Alternative name Latent Sparse Mixed Model
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++, R
License GNU General Public License version 2.0
Computer skills Advanced
Version 0.1.0
Stability Stable
Maintained Yes




No version available


  • person_outline Can Yang
  • person_outline Jin Liu
  • person_outline Jingsi Ming

Publication for Latent Sparse Mixed Model

LSMM institution(s)
Department of Mathematics, Hong Kong Baptist University, Hong Kong, Hong Kong; School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China; Shenzhen Research Institute of Big Data, Shenzhen, China; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore; Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
LSMM funding source(s)
Supported by grant NO.61501389 from National Science Funding of China, grants NO.22302815, NO.12316116 and NO.12301417 from the Hong Kong Research Grant Council, startup grant R9405 from The Hong Kong University of Science and Technology, ITF391/15FX (P0162) from innovative technology funding of Hong Kong, and Duke-NUS Medical School WBS: R-913-200-098-263, and MOE2016-T2-2-029 from Ministry of Education, Singapore.

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