Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Sequence based prediction of relative solvent accessibility using two-stage support vector regression with confidence values"
written by Ke Chen, Michal Kurgan, Lukasz Kurgan,
published by Journal of Biomedical Science and Engineering, Vol.1 No.1, 2008
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity
2015
[2] Improved prediction of residue flexibility by embedding optimized amino acid grouping into RSA-based linear models
Amino acids, 2014
[3] Analysis of femur bone architecture in radiographic images using empirical mode decomposition
G Udhayakumar - 2014 - shodhganga.inflibnet.ac.in, 2014
[4] TANGLE: Two-Level Support Vector Regression Approach for Protein Backbone Torsion Angle
PLoS ONE, 2012
[5] [C@ 4e55b
2012
[6] TANGLE: Two-level support vector regression approach for protein backbone torsion angle prediction from primary sequences
PloS one, 2012
[7] A high performing tool for residue solvent accessibility prediction
Information Technology in Bio-and Medical Informatics. Springer Berlin Heidelberg,, 2011
[8] Quat-2L: a web-server for predicting protein quaternary structural attributes
Molecular diversity, 2011
[9] ifc2: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content
Amino acids, 2011
[10] Structural protein descriptors in 1-dimension and their sequence-based predictions
Current Protein and Peptide Science, 2011
[11] Cellular automata and its applications in protein bioinformatics
Current Protein and Peptide Science, 2011
[12] iFC 2: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content
2011
[13] PREDICTION OF FORCED EXPIRATORY VOLUME (FEV6) IN FLOW–VOLUME SPIROMETRY USING SUPPORT VECTOR MACHINES AND RADIAL BASIS …
Journal of Mechanics in Medicine and Biology, 2010
[14] PREDICTION OF FORCED EXPIRATORY VOLUME (FEV6) IN FLOW–VOLUME SPIROMETRY USING SUPPORT VECTOR MACHINES AND RADIAL …
2010
[15] Prediction of Spirometric Forced Expiratory Volume (FEV1) Data Using Support Vector Regression
Measurement Science Review?, 2010
[16] Prediction of Forced Expiratory Volume (FEV6) in flow–volume spirometry using support vector machines and radial basis function neural networks
Journal of Mechanics in Medicine and Biology, 2010
[17] Sequence-dependence and prediction of nucleotide solvent accessibility in double stranded DNA
Gene, 2009
[18] Physics and chemistry-driven artificial neural network for predicting bioactivity of peptides and proteins and their design
Journal of theoretical biology, 2009
[19] JBiSE
2009
[20] iFC^ 2: an integrated web-server for the improved prediction of protein fold type, structural class, and secondary structure content
Protocol Exchange, 2008
[21] iFC2: an integrated web-server for the improved prediction of protein fold type, structural class, and secondary structure content
2008
[22] Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image
Journal of Theoretical Biology, 2008
[23] Sequence-based methods for real value predictions of protein structure
Current Bioinformatics, 2008
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top