batchmix
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Software:104892
Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
Stephen Coleman, Chris Wallace, Paul D.w. Kirk
Last update: 25 February 2024
Copyright license: GNU General Public License, version 3.0
Software version identifier: 1.0.1, 2.0.0, 2.0.1, 2.1.0
Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) <doi:10.1101/2022.01.14.476352> for details of the model.
