Take a look at BiocSklearn. Nitesh
> On Feb 18, 2020, at 8:11 AM, Zhang, David <david.zhang...@ucl.ac.uk> wrote: > > Dear all, > > I’m a bioinformatics PhD student at UCL who’s recently been trying to develop > an R package that has some python dependencies. Specifically, areas of my > current pipeline are written in python for speed and any ML has been > implemented through sklearn. I was wondering what you would advise as the > best practice of integrating python code into Bioconductor/R p > packages? E.g. R to python interfaces (such as reticulate) or advising > package users to call python scripts independently or re-writing python code > in R? > > Any advice would be much appreciated. > > Many thanks in advance, > > David > _______________________________________________ > Bioc-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/bioc-devel This email message may contain legally privileged and/or confidential information. If you are not the intended recipient(s), or the employee or agent responsible for the delivery of this message to the intended recipient(s), you are hereby notified that any disclosure, copying, distribution, or use of this email message is prohibited. If you have received this message in error, please notify the sender immediately by e-mail and delete this email message from your computer. Thank you. _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
