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Vanathi Gopalakrishnan

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2008
14 Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan: Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC 2008: 56-63
13 Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan: An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP 2008: 527-532
2007
12EEYan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele: Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI 2007: 937-945
2006
11EEVanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert Bowser: Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. BioDM 2006: 93-105
10EEYan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan: Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). Journal of Computational Biology 13(2): 394-406 (2006)
2005
9EEYan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan: Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB 2005: 408-422
2004
8EEYan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan: Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR 2004: 538-539
7EEXinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan: Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinformatics 5: 122 (2004)
6EEYan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan: Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinformatics 20(17): 3099-3107 (2004)
2000
5 Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg: Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization. ISMB 2000: 171-182
1998
4EEVanathi Gopalakrishnan, Bruce G. Buchanan: Representing and Learning Temporal Relationships among Experimental Variables. TIME 1998: 148-155
1996
3 Vanathi Gopalakrishnan: Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS. AAAI/IAAI, Vol. 2 1996: 1391
1994
2 Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian: The Crystallographer's Assistant. AAAI 1994: 1451
1 Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian: Induction of Rules for Biological Macromolecular Crystallization. ISMB 1994: 179-187

Coauthor Index

1Robert Bowser [11]
2Bruce G. Buchanan [1] [2] [4] [5] [7]
3Jaime G. Carbonell [6] [8] [9] [10] [12]
4Philip Ganchev [11]
5Himanshu Grover [13] [14]
6Daniel N. Hennessy [1] [2]
7Judith Klein-Seetharaman [6] [8]
8Yan Liu (Yan (Jenny) Liu) [6] [8] [9] [10] [12]
9Xinghua Lu [7]
10Jonathan L. Lustgarten [13] [14]
11Srikanth Ranganathan [11]
12John M. Rosenberg [1] [5]
13Devika Subramanian [1] [2]
14Shyam Visweswaran [13] [14]
15Peter Weigele [9] [10] [12]
16ChengXiang Zhai (Chengxiang Zhai) [7]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)