pyPLNmodels - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Logiciel Année : 2024

pyPLNmodels

Joon Kwon

Résumé

High dimensional count data are complex to analyze as is, and normalization mustbe performed, but standard normalization does not fit the characteristics of count data. The Poisson LogNormal(PLN) and its Principal Component Analysis variant PLN-PCA are two-sided latent variable models allowing both suitable normalization and analysis of multivariate count data, implemented in this package.

Dates et versions

hal-04738553 , version 1 (24-10-2024)

Identifiants

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Bastien Batardière, Joon Kwon, Julien Chiquet. pyPLNmodels. 2024, ⟨swh:1:dir:e5d55f185fae7b64dd867a5ac05ae70cf9954dc5⟩. ⟨hal-04738553⟩
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