124 citations · 588 across the 20 of their papers we have counts for
3 papers · 1 filter
Exposing the Probabilistic Causal Structure of Discrimination
Francesco Bonchi, Sara Hajian, Bud Mishra +1
Discrimination discovery from data is an important task aiming at identifying patterns of illegal and unethical discriminatory activities against protected-by-law groups, e.g., eth…
Algorithmic Methods to Infer the Evolutionary Trajectories in Cancer Progression
Giulio Caravagna, Alex Graudenzi, Daniele Ramazzotti +6
The genomic evolution inherent to cancer relates directly to a renewed focus on the voluminous next generation sequencing (NGS) data, and machine learning for the inference of expl…
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data
Luca De Sano, Giulio Caravagna, Daniele Ramazzotti +4
Motivation: We introduce TRONCO (TRanslational ONCOlogy), an open-source R package that implements the state-of-the-art algorithms for the inference of cancer progression models fr…