pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods - Behdenna, Abdelkader; Colange, Maximilien; Haziza, Julien; Gema, Aryo; Appé, Guillaume; Azencott, Chloé-Agathe; Nordor, Akpéli (BMC bioinformatics, 2023)
Keywords: Algorithms; Analysis; Batch effects; Bayes factors; Bayes Theorem; Bayesian statistics; Bias; Binomial distribution; Bioinformatics; Biological activity; Biomedical and Life Sciences; Breast cancer; Colorectal cancer; Community involvement; Community participation; Computational Biology - methods; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Computer Science; Datasets; Evaluation; Gene expression; Libraries; Life Sciences; Mathematical analysis; Methods; Microarrays; Molecular dynamics; Normal distribution; Open source; Open source software; Optimization; Ovarian cancer; Programming languages; RNA; RNA sequencing; RNA-Seq; Software; Source code; Transcriptomics; France; Open source; Transcriptomics; Bayesian statistics; Batch effects