Code and data for a Bayesian model for bacterial colonization (BaeMBac)

Marko Järvenpää (Creator)

Probabilistic Machine Learning
Helsinki Institute for Information Technology (HIIT)
Professorship Kaski Samuel
Department of Computer Science

Dataset

Description

Code and data for a Bayesian model for bacterial colonization (BaeMBac) in the article https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006534

Date made available	2019

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https://github.com/mjarvenpaa/bacterial-colonization-model

1 Article

A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation
Järvenpää, M., Sater, M. R. A., Lagoudas, G. K., Blainey, P. C., Miller, L. G., McKinnell, J. A., Huang, S. S., Grad, Y. H. & Marttinen, P., 1 Apr 2019, In: PLoS computational biology. 15, 4, p. 1-25 e1006534.
Research output: Contribution to journal › Article › Scientific › peer-review

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3 Citations (Scopus)

134 Downloads (Pure)

Code and data for a Bayesian model for bacterial colonization (BaeMBac)

Description

Dataset Licences

Access Dataset

Research output

A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation

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