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BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
14 years 9 months ago
Profile-based direct kernels for remote homology detection and fold recognition
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
Huzefa Rangwala, George Karypis
SETA
2004
Springer
81views Mathematics» more  SETA 2004»
15 years 3 months ago
Univariate and Multivariate Merit Factors
Abstract. Merit factor of a binary sequence is reviewed, and constructions are described that appear to satisfy an asymptotic merit factor of 6.3421 . . . Multivariate merit factor...
Matthew G. Parker
IPPS
2008
IEEE
15 years 4 months ago
Build to order linear algebra kernels
—The performance bottleneck for many scientific applications is the cost of memory access inside linear algebra kernels. Tuning such kernels for memory efficiency is a complex ...
Jeremy G. Siek, Ian Karlin, Elizabeth R. Jessup
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
14 years 8 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
87
Voted
EVOW
2006
Springer
15 years 1 months ago
Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
Infection by the human papillomavirus (HPV) is associated with the development of cervical cancer. HPV can be classified to highand low-risk type according to its malignant potenti...
Sun Kim, Byoung-Tak Zhang