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128
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BMCBI
2007
145views more  BMCBI 2007»
15 years 1 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...
116
Voted
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 2 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
BMCBI
2010
151views more  BMCBI 2010»
15 years 2 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
123
Voted
BMCBI
2007
123views more  BMCBI 2007»
15 years 2 months ago
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data
Background: In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred t...
Zailong Wang, Pearlly Yan, Dustin P. Potter, Chari...
138
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CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 14 days ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon