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Christina S. Leslie Vis

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*2009
24EEIain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: RANKPROP: a web server for protein remote homology detection. Bioinformatics 25(1): 121-122 (2009)
2008
23EEDoron Betel, Christina S. Leslie, Nikolaus Rajewsky: Session Introduction. Pacific Symposium on Biocomputing 2008: 49-51
22EEIain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinformatics 9: (2008)
2007
21EEGal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda: NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinformatics 8(S-10): (2007)
20EEIain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinformatics 8(S-4): (2007)
2006
19EEAnshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie: A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7(S-1): (2006)
18EEJason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics 7(S-1): (2006)
2005
17EEEugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie: Multi-class protein fold recognition using adaptive codes. ICML 2005: 329-336
16EEManuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie: Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB 2005: 538-552
15EEJason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised protein classification using cluster kernels. Bioinformatics 21(15): 3241-3247 (2005)
14EERui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: Motif-based protein ranking by network propagation. Bioinformatics 21(19): 3711-3718 (2005)
13EEAnshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie: Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 194-202 (2005)
2004
12EERui 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. CSB 2004: 152-160
11EEManuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240
10EEManuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics 2004: 1-13
9EERui Kuang, Christina S. Leslie, An-Suei Yang: Protein backbone angle prediction with machine learning approaches. Bioinformatics 20(10): 1612-1621 (2004)
8EEChristina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble: Mismatch string kernels for discriminative protein classification. Bioinformatics 20(4): (2004)
7EEChristina S. Leslie, Rui Kuang: Fast String Kernels using Inexact Matching for Protein Sequences. Journal of Machine Learning Research 5: 1435-1455 (2004)
2003
6EEChristina S. Leslie, Rui Kuang: Fast Kernels for Inexact String Matching. COLT 2003: 114-128
5EEJason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised Protein Classification Using Cluster Kernels. NIPS 2003
2002
4EEBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from almost Orthogonal Patterns. ECML 2002: 511-528
3EEChristina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble: Mismatch String Kernels for SVM Protein Classification. NIPS 2002: 1417-1424
2EEBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD 2002: 494-511
1EEChristina S. Leslie, Eleazar Eskin, William Stafford Noble: The Spectrum Kernel: A String Kernel for SVM Protein Classification. Pacific Symposium on Biocomputing 2002: 566-575

Coauthor Index

1Doron Betel [23]
2Gal Chechik [21]
3Adiel Cohen [8]
4André Elisseeff [5] [15]
5Eleazar Eskin [1] [2] [3] [4] [8]
6Yoav Freund [10] [11] [12] [16] [19]
7Feng Gao [13]
8Eugene Ie [12] [15] [17] [20]
9Rui Kuang [6] [7] [9] [12] [14] [18] [20]
10Anshul Kundaje [10] [11] [13] [16] [19]
11Iain Melvin [20] [22] [24]
12Manuel Middendorf [10] [11] [13] [16] [19]
13Quaid Morris [21]
14William Stafford Noble [1] [2] [3] [4] [5] [8] [14] [15] [17] [18] [20] [21] [22] [24]
15Nikolaus Rajewsky [23]
16Gunnar Rätsch [21]
17Bernhard Schölkopf [2] [4]
18Mihir Shah [16] [19]
19Mahira Siddiqi [12]
20Koji Tsuda [21]
21Kai Wang [12]
22Ke Wang [12]
23Jason Weston [2] [3] [4] [5] [8] [14] [15] [17] [18] [20] [22] [24]
24Chris Wiggins [10] [11] [13] [16] [19]
25An-Suei Yang [9]
26Dengyong Zhou [5] [15]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)