README.md
In AskExplain/gcproc: Encodes datasets for prediction and dimension reduction
Generalised Canonical Procrustes
A generative encoding method - ideas stemming from the geometric Procrustes, the statistical Canonical Correlation Analysis, and the neural network Autoencoder.
Current Paper
https://www.biorxiv.org/content/10.1101/2021.07.09.451779v2
A brief talk on the method, also given at the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), flagship conference of the ACM SIGBio
https://www.youtube.com/watch?v=taRzevkGRMA
AskExplain/gcproc documentation built on Aug. 13, 2022, 2:29 p.m.
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Generalised Canonical Procrustes
A generative encoding method - ideas stemming from the geometric Procrustes, the statistical Canonical Correlation Analysis, and the neural network Autoencoder.
Current Paper
https://www.biorxiv.org/content/10.1101/2021.07.09.451779v2
A brief talk on the method, also given at the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), flagship conference of the ACM SIGBio
https://www.youtube.com/watch?v=taRzevkGRMA
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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