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RECOMB
2005
Springer
14 years 11 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
WPES
2003
ACM
14 years 4 months ago
Secure and private sequence comparisons
We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither party reveals anything about their private sequence to the other party (other t...
Mikhail J. Atallah, Florian Kerschbaum, Wenliang D...
CIKM
2008
Springer
14 years 23 days ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
BMCBI
2007
154views more  BMCBI 2007»
13 years 11 months ago
PepBank - a database of peptides based on sequence text mining and public peptide data sources
Background: Peptides are important molecules with diverse biological functions and biomedical uses. To date, there does not exist a single, searchable archive for peptide sequence...
Timur Shtatland, Daniel Guettler, Misha Kossodo, M...
BMCBI
2008
105views more  BMCBI 2008»
13 years 11 months ago
Novel computational methods for increasing PCR primer design effectiveness in directed sequencing
Background: Polymerase chain reaction (PCR) is used in directed sequencing for the discovery of novel polymorphisms. As the first step in PCR directed sequencing, effective PCR pr...
Kelvin Li, Anushka Brownley, Timothy B. Stockwell,...