PubRank

Vasant Honavar

Author PubWeight™ 43.98‹?›

Top papers

Rank Title Journal Year PubWeight™‹?›
1 Mobile health technology evaluation: the mHealth evidence workshop. Am J Prev Med 2013 3.90
2 Predicting linear B-cell epitopes using string kernels. J Mol Recognit 2008 2.47
3 Prediction of RNA binding sites in proteins from amino acid sequence. RNA 2006 2.28
4 RNABindR: a server for analyzing and predicting RNA-binding sites in proteins. Nucleic Acids Res 2007 2.02
5 A Framework for Learning from Distributed Data Using Sufficient Statistics and its Application to Learning Decision Trees. Int J Hybrid Intell Syst 2004 1.99
6 Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinformatics 2007 1.93
7 Predicting DNA-binding sites of proteins from amino acid sequence. BMC Bioinformatics 2006 1.75
8 PRIDB: a Protein-RNA interface database. Nucleic Acids Res 2010 1.33
9 A two-stage classifier for identification of protein-protein interface residues. Bioinformatics 2004 1.32
10 Predicting flexible length linear B-cell epitopes. Comput Syst Bioinformatics Conf 2008 1.32
11 Detection of gene orthology from gene co-expression and protein interaction networks. BMC Bioinformatics 2010 1.32
12 Recent advances in B-cell epitope prediction methods. Immunome Res 2010 1.26
13 Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. BMC Bioinformatics 2012 1.09
14 HomPPI: a class of sequence homology based protein-protein interface prediction methods. BMC Bioinformatics 2011 1.05
15 On evaluating MHC-II binding peptide prediction methods. PLoS One 2008 1.04
16 Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach. BMC Bioinformatics 2007 1.04
17 Characterization of protein-protein interfaces. Protein J 2008 1.02
18 Predicting binding sites of hydrolase-inhibitor complexes by combining several methods. BMC Bioinformatics 2004 1.01
19 Identifying interaction sites in "recalcitrant" proteins: predicted protein and RNA binding sites in rev proteins of HIV-1 and EIAV agree with experimental data. Pac Symp Biocomput 2006 0.98
20 ANEXdb: an integrated animal ANnotation and microarray EXpression database. Mamm Genome 2009 0.97
21 Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach. Neural Comput Appl 2004 0.95
22 Efficient Markov Network Structure Discovery Using Independence Tests. J Artif Intell Res 2009 0.94
23 Information Integration from Semantically Heterogeneous Biological Data Sources. Int Workshop databases Expert Syst Appl 2005 0.93
24 Predicting protein-protein interface residues using local surface structural similarity. BMC Bioinformatics 2012 0.93
25 Struct-NB: predicting protein-RNA binding sites using structural features. Int J Data Min Bioinform 2010 0.92
26 DockRank: ranking docked conformations using partner-specific sequence homology-based protein interface prediction. Proteins 2013 0.85
27 Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. BMC Bioinformatics 2010 0.81
28 Predicting MHC-II binding affinity using multiple instance regression. IEEE/ACM Trans Comput Biol Bioinform 2011 0.80
29 Template-based protein-protein docking exploiting pairwise interfacial residue restraints. Brief Bioinform 2016 0.79
30 Predicting the binding patterns of hub proteins: a study using yeast protein interaction networks. PLoS One 2013 0.79
31 Building classifier ensembles for B-cell epitope prediction. Methods Mol Biol 2014 0.79
32 Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. BMC Bioinformatics 2008 0.78
33 Striking similarities in diverse telomerase proteins revealed by combining structure prediction and machine learning approaches. Pac Symp Biocomput 2008 0.78
34 B-cell ligand processing pathways detected by large-scale comparative analysis. Genomics Proteomics Bioinformatics 2012 0.75
35 Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. BMC Bioinformatics 2009 0.75
36 Abstraction Augmented Markov Models. Proc IEEE Int Conf Data Min 2010 0.75
37 An incremental learning algorithm with confidence estimation for automated identification of NDE signals. IEEE Trans Ultrason Ferroelectr Freq Control 2004 0.75