2.5k citations · 2.6k across the 6 of their papers we have counts for
6 papers
Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions
Mehmet Eren Ahsen, Robert Vogel, Gustavo Stolovitzky
Learning algorithms that aggregate predictions from an ensemble of diverse base classifiers consistently outperform individual methods. Many of these strategies have been developed…
Reducing overfitting in challenge-based competitions
Elias Chaibub Neto, Bruce R Hoff, Chris Bare +10
Over-fitting is a dreaded foe in challenge-based competitions. Because participants rely on public leaderboards to evaluate and refine their models, there is always the danger they…
When the optimal is not the best: parameter estimation in complex biological models
Diego Fernandez Slezak, Cecilia Suarez, Guillermo A. Cecchi +2
Background: The vast computational resources that became available during the past decade enabled the development and simulation of increasingly complex mathematical models of canc…
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context
Adam A. Margolin, Ilya Nemenman, Katia Basso +5
Background: Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genom…
On The Reconstruction of Interaction Networks with Applications to Transcriptional Regulation
Adam A. Margolin, Ilya Nemenman, Chris Wiggins +2
A novel information-theoretic method for reconstruction of interaction networks is introduced. We prove that the method is exact for some class of networks. Performance tests on la…
Efficiency of DNA replication in the Polymerase Chain Reactio
Guillermo A. Cecchi, Gustavo Stolovitzky
We present a detailed kinetic model for the Polymerase Chain Reaction, and model the probability of replication in terms of the physical parameters of the problem. Applying the the…