2006
NIPS
NeurIPS 2006
Game Theoretic Algorithms for Protein-DNA binding
Abstract
We develop and analyze game-theoretic algorithms for predicting coordinate binding of multiple DNA binding regulators. The allocation of proteins to local neighborhoods and to sites is carried out with resource constraints while explicating competing and coordinate binding relations among proteins with affinity to the site or region. The focus of this paper is on mathematical foundations of the approach. We also briefly demonstrate the approach in the context of the -phage switch.
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Conference Pioneer
β NIPS 2006
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Topic Pioneer
β Bioinformatics
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Keyword Pioneer
β computational biology
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Cross-Pollinator
β Artificial Intelligence, Computer Science, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning
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Interdisciplinary Bridge
β Healthcare & Medicine and Mathematics & Optimization
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Trend Setter
β Game Theory
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Hot Topic Early Bird
β probabilistic modeling