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» Learning Methods for DNA Binding in Computational Biology
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81
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BMCBI
2008
114views more  BMCBI 2008»
14 years 9 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
63
Voted
ICML
1999
IEEE
15 years 10 months ago
Detecting Motifs from Sequences
The problemofmultipleglobalcomparisonin familiesof biologicalsequences has been wellstudied. Fewer algorithms have been developed for identifying local consensus patterns or motif...
Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler
RECOMB
2006
Springer
15 years 10 months ago
Simulating Protein Motions with Rigidity Analysis
Abstract. Protein motions, ranging from molecular flexibility to largescale conformational change, play an essential role in many biochemical processes. Despite the explosion in ou...
Shawna L. Thomas, Xinyu Tang, Lydia Tapia, Nancy M...
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 1 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
EWCBR
2004
Springer
15 years 3 months ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica