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Principal component of explained variance: an efficient and optimal data dimension reduction framework for association studies
View ORCID ProfileMaxime Turgeon, Karim Oualkacha, View ORCID ProfileAntonio Ciampi, Golsa Dehghan, Brent W. Zanke, Andréa L. Benedet, View ORCID ProfilePedro Rosa-Neto, Celia MT. Greenwood, Aurélie Labbe, for the Alzheimer’s Disease Neuroimaging Initiative
doi: https://doi.org/10.1101/036566
Maxime Turgeon
1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
2Lady Davis Institute for Medical Research, Montréeal
3Ludmer Centre for Neuroinformatics and Mental Health, Montréeal
Karim Oualkacha
4Déepartement de mathéematiques, Universitée du Quéebec à Montréeal
Antonio Ciampi
1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
3Ludmer Centre for Neuroinformatics and Mental Health, Montréeal
Golsa Dehghan
1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
Brent W. Zanke
5Arctic Diagnostics Inc.
Andréa L. Benedet
6Translational Neuroimaging Laboratory, McGill Center for Studies in Aging, Montreal, Canada
Pedro Rosa-Neto
6Translational Neuroimaging Laboratory, McGill Center for Studies in Aging, Montreal, Canada
7Department of Psychiatry, McGill University
8Department of Neurology and Neurosurgery, McGill University
Celia MT. Greenwood
1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
2Lady Davis Institute for Medical Research, Montréeal
3Ludmer Centre for Neuroinformatics and Mental Health, Montréeal
9Department of Human Genetics, McGill University
10Department of Oncology, McGill University
Aurélie Labbe
1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
3Ludmer Centre for Neuroinformatics and Mental Health, Montréeal
7Department of Psychiatry, McGill University
11Douglas Mental Health University Institute, Verdun
1Department of Epidemiology, Biostatistics, and Occupational Health, McGill University
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Posted January 27, 2016.
Principal component of explained variance: an efficient and optimal data dimension reduction framework for association studies
Maxime Turgeon, Karim Oualkacha, Antonio Ciampi, Golsa Dehghan, Brent W. Zanke, Andréa L. Benedet, Pedro Rosa-Neto, Celia MT. Greenwood, Aurélie Labbe, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 036566; doi: https://doi.org/10.1101/036566
Principal component of explained variance: an efficient and optimal data dimension reduction framework for association studies
Maxime Turgeon, Karim Oualkacha, Antonio Ciampi, Golsa Dehghan, Brent W. Zanke, Andréa L. Benedet, Pedro Rosa-Neto, Celia MT. Greenwood, Aurélie Labbe, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 036566; doi: https://doi.org/10.1101/036566
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