RADseq Data Exploration, Manipulation and Visualization using R

sciblox - Easier Data Science and Machine Learning

From QC to summary statistics

R packages

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

{shinymice} is an R package for interactive evaluation of incomplete data by Hanne Oberman, guided by Gerko Vink and Stef van Buuren.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

Example code for the handbook "Comparative effectiveness and personalized medicine using real-world data"

Marker based imputation of MoCap data.

Stefan's imputation accuracy package

DSI Capstone Project

MSc thesis 'Missing the Point: Non-Convergence in Iterative Imputation Algorithms' by Hanne Oberman

Apply unsupervised learning techniques to identify customers segments.

Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling