Joske Ubels
0000-0002-1057-5225
8 papers found
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Fold Assignment from Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma
Data from Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma
Supplementary Data from Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma
Human induced pluripotent stem cells display a similar mutation burden as embryonic pluripotent cells in vivo
Gene networks constructed through simulated treatment learning can predict proteasome inhibitor benefit in Multiple Myeloma
A robust gene expression signature to predict proteasome inhibitor benefit in Multiple Myeloma
Predicting treatment benefit in multiple myeloma through simulation of alternative treatment effects
A data-driven interactome of synergistic genes improves network based cancer outcome prediction
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