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| 2011 | ||
|---|---|---|
| 32 | Christina S. Leslie: Keynote: High-resolution sequence and chromatin signatures predict transcription factor binding in the human genome. ICCABS 2011: 2 | |
| 31 | Iain Melvin, Jason Weston, William Stafford Noble, Christina S. Leslie: Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding. PLoS Computational Biology 7(1): (2011) | |
| 2010 | ||
| 30 | William Stafford Noble, Christina S. Leslie: Learning Models of Biological Sequences. Encyclopedia of Machine Learning 2010: 590-594 | |
| 29 | Guy Nimrod, Maya Schushan, András Szilágyi, Christina S. Leslie, Nir Ben-Tal: iDBPs: a web server for the identification of DNA binding proteins. Bioinformatics 26(5): 692-693 (2010) | |
| 28 | Xuejing Li, Casandra Panea, Chris H. Wiggins, Valerie Reinke, Christina S. Leslie: Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development. PLoS Computational Biology 6(4): (2010) | |
| 27 | Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina S. Leslie: High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions. PLoS Computational Biology 6(9): (2010) | |
| 2009 | ||
| 26 | Iain 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 | ||
| 25 | Doron Betel, Christina S. Leslie, Nikolaus Rajewsky: Session Introduction. Pacific Symposium on Biocomputing 2008: 49-51 | |
| 24 | Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinformatics 9: (2008) | |
| 23 | Anshul Kundaje, Xiantong Xin, Changgui Lan, Steve Lianoglou, Mei Zhou, Li Zhang, Christina S. Leslie: A Predictive Model of the Oxygen and Heme Regulatory Network in Yeast. PLoS Computational Biology 4(11): (2008) | |
| 2007 | ||
| 22 | Gal 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) | |
| 21 | Iain 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) | |
| 20 | Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie: Multi-class Protein Classification Using Adaptive Codes. Journal of Machine Learning Research 8: 1557-1581 (2007) | |
| 2006 | ||
| 19 | Anshul 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) | |
| 18 | Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics 7(S-1): (2006) | |
| 2005 | ||
| 17 | Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie: Multi-class protein fold recognition using adaptive codes. ICML 2005: 329-336 | |
| 16 | Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie: Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB 2005: 538-552 | |
| 15 | Jason 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) | |
| 14 | Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: Motif-based protein ranking by network propagation. Bioinformatics 21(19): 3711-3718 (2005) | |
| 13 | Anshul 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 | ||
| 12 | 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. CSB 2004: 152-160 | |
| 11 | Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240 | |
| 10 | Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie: Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics 2004: 1-13 | |
| 9 | Rui Kuang, Christina S. Leslie, An-Suei Yang: Protein backbone angle prediction with machine learning approaches. Bioinformatics 20(10): 1612-1621 (2004) | |
| 8 | Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble: Mismatch string kernels for discriminative protein classification. Bioinformatics 20(4): 467-476 (2004) | |
| 7 | Christina S. Leslie, Rui Kuang: Fast String Kernels using Inexact Matching for Protein Sequences. Journal of Machine Learning Research 5: 1435-1455 (2004) | |
| 2003 | ||
| 6 | Christina S. Leslie, Rui Kuang: Fast Kernels for Inexact String Matching. COLT 2003: 114-128 | |
| 5 | Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised Protein Classification Using Cluster Kernels. NIPS 2003 | |
| 2002 | ||
| 4 | Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from almost Orthogonal Patterns. ECML 2002: 511-528 | |
| 3 | Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble: Mismatch String Kernels for SVM Protein Classification. NIPS 2002: 1417-1424 | |
| 2 | Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD 2002: 494-511 | |
| 1 | Christina S. Leslie, Eleazar Eskin, William Stafford Noble: The Spectrum Kernel: A String Kernel for SVM Protein Classification. Pacific Symposium on Biocomputing 2002: 566-575 | |
Colors in the list of coauthors
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