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» Improving EAs for Sequencing Problems
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ICMLA
2009
13 years 7 months ago
Structured Prediction with Relative Margin
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Pannagadatta K. Shivaswamy, Tony Jebara
BMCBI
2004
150views more  BMCBI 2004»
13 years 9 months ago
Cross-species comparison significantly improves genome-wide prediction of cis-regulatory modules in Drosophila
Background: The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. It is important to quanti...
Saurabh Sinha, Mark D. Schroeder, Ulrich Unnerstal...
BMCBI
2006
124views more  BMCBI 2006»
13 years 9 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
COMPGEOM
1995
ACM
14 years 22 days ago
The Rectangle Enclosure and Point-Dominance Problems Revisited
We consider the problem of reporting the pairwise enclosures in a set of n axesparallel rectangles in IR2, which is equivalent to reporting dominance pairs in a set of n points in...
Prosenjit Gupta, Ravi Janardan, Michiel H. M. Smid...
BMCBI
2010
116views more  BMCBI 2010»
13 years 9 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel