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DSMML
2004
Springer
13 years 11 months ago
Integrating Binding Site Predictions Using Non-linear Classification Methods
Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alist...
ESANN
2006
13 years 7 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
IEEEICCI
2006
IEEE
13 years 11 months ago
Using Feature Selection Filtering Methods for Binding Site Predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we applied classification techniques on predictio...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
ICANNGA
2007
Springer
149views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
Currently the best algorithms for transcription factor binding site predictions are severely limited in accuracy. However, a non-linear combination of these algorithms could improv...
Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, R...
RECOMB
2004
Springer
14 years 5 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...