33 citations · 33 across the 3 of their papers we have counts for
3 papers
Causes of evolutionary divergence in prostate cancer
Emre Esenturk, Atef Sahli, Valeriia Haberland +52
Cancer progression involves the sequential accumulation of genetic alterations that cumulatively shape the tumour phenotype. In prostate cancer, tumours can follow divergent evolut…
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models
Willem Bonnaffé, CRUK ICGC Prostate Group, Freddie Hamdy +5
Recent advances in attention-based multiple instance learning (MIL) have improved our insights into the tissue regions that models rely on to make predictions in digital pathology.…
Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: An application to single cell data
Bärbel Finkenstädt, Dan J. Woodcock, Michal Komorowski +4
A central challenge in computational modeling of dynamic biological systems is parameter inference from experimental time course measurements. However, one would not only like to i…