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» Protein secondary structure prediction using neural networks
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BMCBI
2007
131views more  BMCBI 2007»
13 years 9 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
BIOINFORMATICS
2010
94views more  BIOINFORMATICS 2010»
13 years 9 months ago
Globally, unrelated protein sequences appear random
Motivation: To test whether protein folding constraints and secondary structure sequence preferences significantly reduce the space of amino acid words in proteins, we compared th...
Daniel T. Lavelle, William R. Pearson
METMBS
2004
151views Mathematics» more  METMBS 2004»
13 years 10 months ago
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis...
BMCBI
2005
126views more  BMCBI 2005»
13 years 9 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
BMCBI
2006
132views more  BMCBI 2006»
13 years 9 months ago
Length-dependent prediction of protein intrinsic disorder
Background: Due to the functional importance of intrinsically disordered proteins or protein regions, prediction of intrinsic protein disorder from amino acid sequence has become ...
Kang Peng, Predrag Radivojac, Slobodan Vucetic, A....