pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods

Abdelkader Behdenna; Julien Haziza; Chloé-Agathe Azencott; Akpéli Nordor

doi:10.1101/2020.03.17.995431

Preprints, Working Papers, ...

pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods

Abdelkader Behdenna Julien Haziza Chloé-Agathe Azencott ¹ Akpéli Nordor

1 CBIO - Centre de Bioinformatique

Document type :

Preprints, Working Papers, ...

Domain :

Statistics [stat] / Machine Learning [stat.ML]

Computer Science [cs] / Bioinformatics [q-bio.QM]

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https://hal-mines-paristech.archives-ouvertes.fr/hal-03114226
Contributor : Chloé-Agathe Azencott Connect in order to contact the contributor
Submitted on : Monday, January 18, 2021 - 6:15:59 PM
Last modification on : Monday, January 10, 2022 - 10:16:05 AM

pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods

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pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods

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