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BMCBI
2010
135views more  BMCBI 2010»
13 years 8 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
BMCBI
2006
116views more  BMCBI 2006»
13 years 7 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
OOPSLA
2010
Springer
13 years 6 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
BMCBI
2008
155views more  BMCBI 2008»
13 years 8 months ago
AMMOS: Automated Molecular Mechanics Optimization tool for in silico Screening
Background: Virtual or in silico ligand screening combined with other computational methods is one of the most promising methods to search for new lead compounds, thereby greatly ...
Tania Pencheva, David Lagorce, Ilza Pajeva, Bruno ...
CVPR
2009
IEEE
15 years 2 months ago
Pedestrian Detection: A Benchmark
Pedestrian detection is a key problem in computer vision, with several applications including robotics, surveillance and automotive safety. Much of the progress of the past few ...
Bernt Schiele, Christian Wojek, Pietro Perona, Pio...