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Publications of Author

1. Christina S. Leslie, Rui Kuang
   Fast Kernels for Inexact String Matching. [Citation Graph (0, 0)][DBLP]
   COLT, 2003, pp:114-128 [Conf]
   
2. Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie
   Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. [Citation Graph (0, 0)][DBLP]
   CSB, 2004, pp:152-160 [Conf]
   
3. Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
   A Kernel Approach for Learning from almost Orthogonal Patterns. [Citation Graph (0, 0)][DBLP]
   ECML, 2002, pp:511-528 [Conf]
   
4. Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie
   Multi-class protein fold recognition using adaptive codes. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:329-336 [Conf]
   
5. Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
   Predicting genetic regulatory response using classification. [Citation Graph (0, 0)][DBLP]
   ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:232-240 [Conf]
   
6. Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble
   Mismatch String Kernels for SVM Protein Classification. [Citation Graph (0, 0)][DBLP]
   NIPS, 2002, pp:1417-1424 [Conf]
   
7. Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
   Semi-supervised Protein Classification Using Cluster Kernels. [Citation Graph (0, 0)][DBLP]
   NIPS, 2003, pp:- [Conf]
   
8. Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
   A Kernel Approach for Learning from Almost Orthogonal Patterns. [Citation Graph (0, 0)][DBLP]
   PKDD, 2002, pp:494-511 [Conf]
   
9. Christina S. Leslie, Eleazar Eskin, William Stafford Noble
   The Spectrum Kernel: A String Kernel for SVM Protein Classification. [Citation Graph (0, 0)][DBLP]
   Pacific Symposium on Biocomputing, 2002, pp:566-575 [Conf]
   
10. Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie
    Motif Discovery Through Predictive Modeling of Gene Regulation. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2005, pp:538-552 [Conf]
    
11. Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
    Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. [Citation Graph (0, 0)][DBLP]
    Regulatory Genomics, 2004, pp:1-13 [Conf]
    
12. Rui Kuang, Christina S. Leslie, An-Suei Yang
    Protein backbone angle prediction with machine learning approaches. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:10, pp:1612-1621 [Journal]
    
13. Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
    Motif-based protein ranking by network propagation. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:19, pp:3711-3718 [Journal]
    
14. Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble
    Mismatch string kernels for discriminative protein classification. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:4, pp:- [Journal]
    
15. Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble
    Semi-supervised protein classification using cluster kernels. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:15, pp:3241-3247 [Journal]
    
16. Christina S. Leslie, Rui Kuang
    Fast String Kernels using Inexact Matching for Protein Sequences. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1435-1455 [Journal]
    
17. Anshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie
    Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:194-202 [Journal]
    
18. 
    Session Introduction. [Citation Graph (, )][DBLP]
    
    
19. 
    RANKPROP: a web server for protein remote homology detection. [Citation Graph (, )][DBLP]
    
    
20. 
    Combining classifiers for improved classification of proteins from sequence or structure. [Citation Graph (, )][DBLP]
    
    
21. 
    NIPS workshop on New Problems and Methods in Computational Biology. [Citation Graph (, )][DBLP]
    
    
22. 
    SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. [Citation Graph (, )][DBLP]
    
    
23. 
    A classification-based framework for predicting and analyzing gene regulatory response. [Citation Graph (, )][DBLP]
    
    
24. 
    Protein Ranking by Semi-Supervised Network Propagation. [Citation Graph (, )][DBLP]