I’ll be talking about Deep Learning with Keras in R and Python at the following upcoming meetup:
Ruhr.Py 2018 on Wednesday, April 4th Introducing Deep Learning with Keras and Python Keras is a high-level API written in Python for building and prototyping neural networks. It can be used on top of TensorFlow, Theano or CNTK. In this talk we build, train and visualize a Model using Python and Keras - all interactive with Jupyter Notebooks!

# Join MünsteR for our next meetup on obtaining functional implications of gene expression data with R

In our next MünsteR R-user group meetup on March 5th, 2018 Frank Rühle will talk about bioinformatics and how to analyse genome data.
You can RSVP here: http://meetu.ps/e/DDY1B/w54bW/f
Next-Generation sequencing and array-based technologies provided a plethora of gene expression data in the public genomics databases. But how to get meaningful information and functional implications out of this vast amount of data? Various R-packages have been published by the Bioconductor user community for distinct kinds of analysis strategies.

Last night, the MünsteR R user-group had another great meetup:
Karin Groothuis-Oudshoorn, Assistant Professor at the University of Twente, presented her R package mice about Multivariate Imputation by Chained Equations.
It was a very interesting talk and here are my sketchnotes that I took during it:
MICE talk sketchnotes
Here is the link to the paper referenced in my notes: https://www.jstatsoft.org/article/view/v045i03
“The mice package implements a method to deal with missing data.