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[BBA14] An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic data
Conférence Internationale avec comité de lecture : PLS2014, May 2014, Paris, France,Mots clés: Genetics, behavioral data, sparsification, multiple correspondence analysis, group sparsification
Résumé:
Genetic data are now common in many domains. Typically, these genetic studies try to associate genetics with
single phenotypes, behaviors, or diagnostic criteria. However, many of these studies include multiple behavioral variables and very large genetic data sets. The analysis of these data sets faces two particular challenges: 1) How to integrate many behavioral and genetic variables when 2) only a small number of variables are interpretable. To address these issues, we propose the integration of partial least squares and a sparsified approach to multiple correspondence analysis.
Commentaires:
8th International Conference on Partial Least Squares and Related Methods
Equipe:
msdma
BibTeX
| @inproceedings { | |||
| BBA14, | |||
| title | = | "{An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic data}", | |
| author | = | " D. Beaton and A. Bernard and H. Abdi and G. Saporta ", | |
| booktitle | = | "{PLS2014}", | |
| year | = | 2014, | |
| month | = | "May", | |
| address | = | "Paris, France", | |
| note | = | "{8th International Conference on Partial Least Squares and Related Methods}", | |
| } | |||
