Yasser EL-Manzalawy
Zitiert von
Zitiert von
Predicting linear B‐cell epitopes using string kernels
Y EL‐Manzalawy, D Dobbs, V Honavar
Journal of Molecular Recognition: An Interdisciplinary Journal 21 (4), 243-255, 2008
Predicting flexible length linear B-cell epitopes
Y El-Manzalawy, D Dobbs, V Honavar
Computational Systems Bioinformatics: (Volume 7), 121-132, 2008
WLSVM: integrating LibSVM into Weka environment
Y El-Manzalawy, V Honavar
Software available at http://www. cs. iastate. edu/yasser/wlsvm, 2005
Recent advances in B-cell epitope prediction methods
ELM Yasser, V Honavar
Immunome research 6 (2), 1-9, 2010
Predicting protein-protein interface residues using local surface structural similarity
RA Jordan, ELM Yasser, D Dobbs, V Honavar
BMC bioinformatics 13 (1), 1-14, 2012
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art
RR Walia, C Caragea, BA Lewis, F Towfic, M Terribilini, Y El-Manzalawy, ...
BMC bioinformatics 13 (1), 1-20, 2012
RNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteins
RR Walia, LC Xue, K Wilkins, Y El-Manzalawy, D Dobbs, V Honavar
PloS one 9 (5), e97725, 2014
On evaluating MHC-II binding peptide prediction methods
ELM Yasser, D Dobbs, V Honavar
PloS one 3 (9), e3268, 2008
Predicting MHC-II binding affinity using multiple instance regression
ELM Yasser, D Dobbs, V Honavar
Ieee/acm transactions on computational biology and bioinformatics 8 (4 …, 2010
DockRank: Ranking docked conformations using partner‐specific sequence homology‐based protein interface prediction
LC Xue, RA Jordan, ELM Yasser, D Dobbs, V Honavar
Proteins: Structure, Function, and Bioinformatics 82 (2), 250-267, 2014
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
ELM Yasser, TY Hsieh, M Shivakumar, D Kim, V Honavar
BMC medical genomics 11 (3), 19-31, 2018
In silico prediction of linear B-cell epitopes on proteins
ELM Yasser, D Dobbs, VG Honavar
Prediction of Protein Secondary Structure, 255-264, 2017
WLSVM: Integrating LibSVM into Weka Environment, 2005
ELM Yasser, V Honavar
Software available at http://www. cs. iastate. edu/~ yasser/wlsvm, 0
Predicting protective linear B-cell epitopes using evolutionary information
ELM Yasser, D Dobbs, V Honavar
2008 IEEE International Conference on Bioinformatics and Biomedicine, 289-292, 2008
PlasmoSEP: Predicting surface‐exposed proteins on the malaria parasite using semisupervised self‐training and expert‐annotated data
Y El‐Manzalawy, EE Munoz, SE Lindner, V Honavar
Proteomics 16 (23), 2967-2976, 2016
FastRNABindR: fast and accurate prediction of protein-RNA Interface residues
Y El-Manzalawy, M Abbas, Q Malluhi, V Honavar
PloS one 11 (7), e0158445, 2016
Building classifier ensembles for B-cell epitope prediction
ELM Yasser, V Honavar
Immunoinformatics, 285-294, 2014
MICCLLR: multiple-instance learning using class conditional log likelihood ratio
ELM Yasser, V Honavar
International Conference on Discovery Science, 80-91, 2009
Personalized sleep parameters estimation from actigraphy: a machine learning approach
A Khademi, ELM Yasser, L Master, OM Buxton, VG Honavar
Nature and Science of Sleep 11, 387, 2019
Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors
MM Abbas, MM Mohie-Eldin, ELM Yasser
PloS one 10 (3), e0119721, 2015
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