Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data-Reference-Cited by-同舟云学术

Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data

Published:2016-10-02 Issue: Volume: Page:
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Container-title:Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
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Author:

Alam Md. Ashad¹,Komori Osamu²,Calhoun Vince³,Wang Yu-Ping¹

Affiliation:

1. Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA

2. Department of Electrical and Electronics Engineering, University of Fukui, Fukui-shi, Fukui, Japan

3. Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USA

Funder

National Institute for Health Research

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2975167.2975196

Reference42 articles.

1. A robust predictive approach for canonical correlation analysis

2. Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data

3. Higher-Order Regularized Kernel CCA

4. Higher-order regularized kernel canonical correlation analysis;Alam M. A.;International Journal of Pattern Recognition and Artificial Intelligence,2015

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