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BMCBI
2006
102views more  BMCBI 2006»
14 years 12 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
BMCBI
2006
91views more  BMCBI 2006»
14 years 12 months ago
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
Background: Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This informat...
Stephen Winters-Hilt, Matthew Landry, Mark Akeson,...
KAIS
2008
221views more  KAIS 2008»
14 years 11 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
MTA
2008
134views more  MTA 2008»
14 years 11 months ago
A survey of content based 3D shape retrieval methods
Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has led to an explosion in the number of available 3D models on the Internet and in domain-spe...
Johan W. H. Tangelder, Remco C. Veltkamp
BMCBI
2005
121views more  BMCBI 2005»
14 years 11 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown