joint analysis framework statistics

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Number of citations per year for the bioinformatics software tool joint analysis framework
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joint analysis framework specifications

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Unique identifier OMICS_27184
Name joint analysis framework
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Hui Lu

Publication for joint analysis framework

joint analysis framework citation

library_books

Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders

2017
PMCID: 5491456
PMID: 28702349
DOI: 10.1016/j.nicl.2017.06.014

[…] t is possible that LICA would return unimodal components that resemble components obtained using separate ICA results. In this case, LICA is still preferred over separate ICA decompositions since its joint analysis framework allows for better interpretation in terms of specificity. In particular, such unimodal components, when found together with other multimodal components in the LICA context, i. […]


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joint analysis framework institution(s)
Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA; SJTU-Yale Joint Center for Biostatistics, Department of Bioinformatics and Biostatistics, Shanghai Jiaotong University, Shanghai, China; Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai, China
joint analysis framework funding source(s)
Supported by University of Illinois at Chicago department of Bioengineering and Science and Technology Commission of Shanghai Municipality (STCSM) grant 17DZ 22512000.

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