CCB, NKI's repositories
flexgsea-r
Flexible gene set enrichment analysis
sobolev_alignment
Sobolev alignment of deep probabilistic models for comparing single cell profiles
TRANSACT_manuscript
Scripts supporting TRANSACT manuscript
imagene-analysis
Radiogenomic analysis of breast cancer by linking MRI phenotypes with tumor gene expression
TANDEM
A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream features (such as gene expression) to predict the residuals of the first stage. In our manuscript (Aben et al., 2016), we show that using TANDEM prevents the model from being dominated by gene expression and that the features selected by TANDEM are more interpretable.
multitask_vi
The Multitask Variable Importance (Multitask VI) is a modified version of the permuted variable importance score for Random Forests. Essentially, for a Random Forest trained simultaneously for multiple response vectors, it allows the inference of variable importance scores per variable and per task.
precision-immune-analyses
Analyses for the PRECISION DCIS immune paper (in press)
won-parafac
Weighted orthogonal non-negative (WON) parallel factor analsyis (PARAFAC)
Tumor-educated-platelets
Code accompanying the publication "Tumor educated platelets for breast cancer detection"
CNR-analyses
Notebooks to reproduce the figures from CNR manuscript (Bosdriesz et al., Bioinformatics, 2018)
iTOP-RMarkdown
An R Markdown file containing code to reproduce all figures from our iTOP publication
PRECISE_figures
Jupyter notebooks and code to reproduce figures