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Allows users to determine logistic regression bio-signatures. PReMS is a package providing a computational method starting from a set of potential biomarkers. The program picks the most suited ones by fitting all possible models with one and two covariates and, then, classify them according their log-likelihood. It can be used for querying very large model spaces by using multiple processors.

The PReMS R package can be downloaded via the following link (GitHub):

https://github.com/clivehoggart/PReMS

For more information on PReMS please see the following references:

https://www.biorxiv.org/content/biorxiv/early/2018/06/27/355479.full.pdf

 

Internal case number 8156

PReMS

Parallel Regularised Regression Model Search for sparse bio-signature discovery

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