Nil Sahin

The paper uses high-content imaging and machine learning to study how perturbing essential genes affects subcellular organization in yeast, revealing cascade effects and a threshold for cell death.

TrackSig estimates mutation evolutionary trajectories from bulk tumor sequencing data, showing improved accuracy in detecting subclonal populations and signature activity changes compared to baseline methods.