Multi-task sparse canonical correlation analysis and logistic regression.
Paper:
Identifying diagnosis-specific genotype-phenotype associations via joint multi-task sparse canonical correlation analysis and classification, accepted by ISMB 2020.
Code:
Unzip libsvm-3.24.zip and run example.m to get the results.
If possible, please cite the following papers if you use the code in your research.
@article{du2020ismb,
title={Identifying diagnosis-specific genotype--phenotype associations via joint multitask sparse canonical correlation analysis and classification},
author={Du, Lei and Liu, Fang and Liu, Kefei and Yao, Xiaohui and Risacher, Shannon L and Han, Junwei and Guo, Lei and Saykin, Andrew J and Shen, Li and Alzheimer’s Disease Neuroimaging Initiative},
journal={Bioinformatics},
volume={36},
number={Supplement\_1},
pages={i371--i379},
year={2020},
publisher={Oxford University Press}
}
@article{du2020detecting,
title={Detecting genetic associations with brain imaging phenotypes in {Alzheimer’s} disease via a novel structured {SCCA} approach},
author={Du, Lei and Liu, Kefei and Yao, Xiaohui and Risacher, Shannon L and Han, Junwei and Saykin, Andrew J and Guo, Lei and Shen, Li},
journal={Medical Image Analysis},
volume={61},
pages={101656},
year={2020},
publisher={Elsevier}
}Author: Lei Du
Please contact Lei Du (dulei@nwpu.edu.cn) or Li Shen (Li.Shen@pennmedicine.upenn.edu) for any comments or questions.