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» Using Multiple Alignments to Improve Gene Prediction
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139
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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 4 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
192
Voted
BMCBI
2011
14 years 7 months ago
Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation
Background: The Smith-Waterman algorithm for local sequence alignment is more sensitive than heuristic methods for database searching, but also more time-consuming. The fastest ap...
Torbjørn Rognes
129
Voted
BIBE
2007
IEEE
110views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Discrete Methods for Association Search and Status Prediction in Genotype Case-Control Studies
Abstract—Recent improvements in high-throughput genotyping technology make possible genome-wide association studies and status prediction (classification) for common complex dis...
Dumitru Brinza, Alexander Zelikovsky
CIMCA
2008
IEEE
15 years 10 months ago
Analysing Boundary Objects to Develop Results that Support Business Goals
In this study of eight outsourcing projects, we seek to understand the mechanisms that companies put in place to coordinate knowledge work across their boundaries. We find that m...
María Laura Ponisio, Peter Vruggink
BMCBI
2006
158views more  BMCBI 2006»
15 years 3 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...