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| 1 | Recent advances in B-cell epitope prediction methods显示文摘 | Yasser EL-Manzalawy Vasant Honavar | | 0，，2： | 1 |
| 2 | A two stage classifier for identification of protein-protein interface residues 显示文摘 | YAN Changhui DRENA Dobbs VASANT Honavar | 2004 | Bioinformatics2004，20，1： | 1 |
| 3 | Characterization of Protein–Protein Interfaces显示文摘 | Changhui Yan Feihong Wu Robert L. Jernigan Drena Dobbs Vasant Honavar | 2008 | The Protein Journal2008，，1： | 1 |
| 4 | MICCLLR: Multiple- instance learning using class conditional log likelihood ratio显示文摘 | Yasser E M Vasant Honavar | 2009 | Discovery Science2009，58，8： | 1 |
| 5 | Feature subset selection using a genetic algorithm显示文摘 | Ji hoon Yang Vasant Honavar | 1998 | IEEE Intelligent Systems (S0885-9000)1998，13，2： | 1 |
| 6 | Intelligent Agents for Intrusion Detection显示文摘 | Guy G Helmer Johnny S k Wong Vasant Honavar | 1998 | Information Technology Conference IEEE1998，13，： | 1 |
| 7 | A Multi-relational Decision Tree Learning Algorithm-Implementation and Experiments显示文摘 | ANNA Atramentov HECTOR Leiva VASANT Honavar | 2003 | Lecture Notes in Computer Science2003，2835，： | 1 |
| 8 | B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis显示文摘The initiation of B-cell ligand recognition is a critical step for the generation of an immune response against foreign bodies.We sought to identify the biochemical pathways involved in the B-cell ligand recognition cascade and sets of ligands that trigger similar immunological responses.We utilized several comparative approaches to analyze the gene coexpression networks generated from a set of microarray experiments spanning 33 different ligands.First,we compared the degree distributions of the generated networks.Second,we utilized a pairwise network alignment algorithm,BiNA,to align the networks based on the hubs in the networks.Third,we aligned the networks based on a set of K_EGG pathways.We summarized our results by constructing a consensus hierarchy of pathways that are involved in B cell ligand recognition.The resulting pathways were further validated through literature for their common physiological responses.Collectively,the results based on our comparative analyses of degree distributions,alignment of hubs,and alignment based on KEGG pathways provide a basis for molecular characterization of the immune response states of B-cells and demonstrate the power of comparative approaches(e.g.,gene coexpression network alignment algorithms) in elucidating biochemical pathways involved in complex signaling events in cells. | Fadi Towfic Shakti Gupta Vasant Honavar Shankar Subramaniam | 2012 | Genomics, Proteomics & Bioinformatics2012，10，3： | 0 |
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