inMTSCCA pcMTSCCA、hocMTSCCA
Introduction
Identifying genetic risk factors for Alzheimer’s disease (AD) is an important research topic, in this work, we propose two integrated multi-task sparse canonical correlation analysis (MTSCCA) methods to identify genetic factors as well as AD-relevant endophenotypic markers. These two MTSCCA methods, called the pairwise endophenotype correlation guided MTSCCA (pcMTSCCA) and the high-order endophenotype correlation guided MTSCCA (hocMTSCCA). Our methods provided very helpful clues for further in-depth investigation and thus were powerful in multi-omics heterogeneous markers identification.
# integratedMTSCCA
TItle:
inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omics Brain Imaging Genetics
- the pairwise endophenotype correlation guided MTSCCA (*pc*MTSCCA)
- the high-order endophenotype correlation guided MTSCCA (*hoc*MTSCCA)
Code:
Unzip tensor_toolbox-master.zip and run example.m to get the results.
Please contact Lei Du (dulei@nwpu.edu.cn) and Jin Zhang(jinzhang@mail.nwpu.edu.cn) for any comments or questions.
Publications
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Credits
- jin zhang jinzhang@mail.nwpu.edu.cn Investigator
College of Automation, Northwestern Polytechnical University, China
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Accession | BT007330 |
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Tool Type | Application |
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Platforms | Windows |
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Latest Release | 0.1.0 (October 29, 2022) |
Download Count | 535 |
Country/Region | China |
Submitted By | jin zhang |