| 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 | 854 | 2008 |
| Predicting flexible length linear B-cell epitopes ELM Yasser, D Dobbs, V Honavar Computational systems bioinformatics 7, 121, 2008 | 265 | 2008 |
| Recent advances in B-cell epitope prediction methods Y El-Manzalawy, V Honavar Immunome research 6, 1-9, 2010 | 233 | 2010 |
| WLSVM: integrating LibSVM into Weka environment Y El-Manzalawy, V Honavar Software available at http://www. cs. iastate. edu/yasser/wlsvm, 2005 | 174 | 2005 |
| 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 | 122 | 2014 |
| Predicting protein-protein interface residues using local surface structural similarity RA Jordan, Y El-Manzalawy, D Dobbs, V Honavar BMC bioinformatics 13, 1-14, 2012 | 112 | 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, 1-20, 2012 | 97 | 2012 |
| On evaluating MHC-II binding peptide prediction methods Y El-Manzalawy, D Dobbs, V Honavar PloS one 3 (9), e3268, 2008 | 67 | 2008 |
| Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data Y El-Manzalawy, TY Hsieh, M Shivakumar, D Kim, V Honavar BMC medical genomics 11, 19-31, 2018 | 63 | 2018 |
| Machine learning based refined differential gene expression analysis of pediatric sepsis M Abbas, Y El-Manzalawy BMC medical genomics 13, 1-10, 2020 | 62 | 2020 |
| In silico prediction of linear B-cell epitopes on proteins Y El-Manzalawy, D Dobbs, VG Honavar Prediction of Protein Secondary Structure, 255-264, 2017 | 50 | 2017 |
| Personalized sleep parameters estimation from actigraphy: a machine learning approach A Khademi, Y El-Manzalawy, L Master, OM Buxton, VG Honavar Nature and Science of Sleep, 387-399, 2019 | 49 | 2019 |
| 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 | 39 | 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 | 31 | 2014 |
| Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering Y El-Manzalawy, O Buxton, V Honavar 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 27 | 2017 |
| Associations between google search trends for symptoms and COVID-19 confirmed and death cases in the United States M Abbas, TB Morland, ES Hall, Y El-Manzalawy International journal of environmental research and public health 18 (9), 4560, 2021 | 23 | 2021 |
| Biomarker discovery in inflammatory bowel diseases using network-based feature selection M Abbas, J Matta, T Le, H Bensmail, T Obafemi-Ajayi, V Honavar, ... PloS one 14 (11), e0225382, 2019 | 21 | 2019 |
| 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 | 21 | 2016 |
| Toward personalized sleep-wake prediction from actigraphy A Khademi, Y El-Manzalawy, OM Buxton, V Honavar 2018 IEEE EMBS International conference on biomedical & health informatics …, 2018 | 20 | 2018 |
| 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 | 17 | 2016 |
Drena DobbsUniversity Professor, Emerita, Genetics, Development & Cell Biology, Iowa State UniversityE-mail megerősítve itt: iastate.edu