Christina S. Leslie

39 papers A* 2B 1Misc 2Journal 21Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Discrete Representation Learning for Modeling Imaging-based Spatial Transcriptomics Data. ICCV (Workshops) Dig Vijay Kumar Yarlagadda, Joan Massagué, Christina S. Leslie
2019	—	`conf`	Decoding Epigenomic Programs in Immunity and Cancer. BCB Christina S. Leslie
2018	J	`jnl`	Widespread intronic polyadenylation inactivates tumour suppressor genes in leukaemia. Nat. Shih-Han Lee, Irtisha Singh, Sarah Tisdale, Omar Abdel Wahab, Christina S. Leslie, Christine Mayr
2017	—	`ch.`	Learning Models of Biological Sequences. Encyclopedia of Machine Learning and Data Mining William Stafford Noble, Christina S. Leslie
2016	J	`jnl`	Learning to Predict miRNA-mRNA Interactions from AGO CLIP Sequencing and CLASH Data. PLoS Comput. Biol. Yuheng Lu, Christina S. Leslie
2015	J	`jnl`	SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps. PLoS Comput. Biol. Manu Setty, Christina S. Leslie
2011	J	`jnl`	Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding. PLoS Comput. Biol. Iain Melvin, Jason Weston, William Stafford Noble, Christina S. Leslie
2011	—	`conf`	Keynote: High-resolution sequence and chromatin signatures predict transcription factor binding in the human genome. ICCABS Christina S. Leslie
2010	J	`jnl`	High Resolution Models of Transcription Factor-DNA Affinities Improve PLoS Comput. Biol. Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina S. Leslie
2010	J	`jnl`	Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development. PLoS Comput. Biol. Xuejing Li, Casandra Panea, Chris H. Wiggins, Valerie Reinke, Christina S. Leslie
2010	—	`ch.`	Learning Models of Biological Sequences. Encyclopedia of Machine Learning William Stafford Noble, Christina S. Leslie
2010	J	`jnl`	iDBPs: a web server for the identification of DNA binding proteins. Bioinform. Guy Nimrod, Maya Schushan, András Szilágyi, Christina S. Leslie, Nir Ben-Tal
2009	J	`jnl`	RANKPROP: a web server for protein remote homology detection. Bioinform. Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble
2008	J	`jnl`	A Predictive Model of the Oxygen and Heme Regulatory Network in Yeast. PLoS Comput. Biol. Anshul Kundaje, Xiantong Xin, Changgui Lan, Steve Lianoglou, Mei Zhou, Li Zhang, Christina S. Leslie
2008	J	`jnl`	Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinform. Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble
2008	Misc	`conf`	Session Introduction. Pacific Symposium on Biocomputing Doron Betel, Christina S. Leslie, Nikolaus Rajewsky
2007	J	`jnl`	Multi-class Protein Classification Using Adaptive Codes. J. Mach. Learn. Res. Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie
2007	J	`jnl`	NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinform. Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda
2007	J	`jnl`	SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinform. Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
2006	J	`jnl`	A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinform. Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie
2006	J	`jnl`	Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinform. Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble
2006	—	`ch.`	Semi-Supervised Protein Classification Using Cluster Kernels. Semi-Supervised Learning Jason Weston, Christina S. Leslie, Eugene Ie, William Stafford Noble
2005	J	`jnl`	Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules. IEEE ACM Trans. Comput. Biol. Bioinform. Anshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie
2005	B	`conf`	Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie
2005	J	`jnl`	Motif-based protein ranking by network propagation. Bioinform. Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
2005	A*	`conf`	Multi-class protein fold recognition using adaptive codes. ICML Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie
2005	J	`jnl`	Semi-supervised protein classification using cluster kernels. Bioinform. Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble
2004	J	`jnl`	Fast String Kernels using Inexact Matching for Protein Sequences. J. Mach. Learn. Res. Christina S. Leslie, Rui Kuang
2004	J	`jnl`	Mismatch string kernels for discriminative protein classification. Bioinform. Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble
2004	—	`conf`	Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
2004	—	`conf`	Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
2004	—	`conf`	Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie
2004	J	`jnl`	Protein backbone angle prediction with machine learning approaches. Bioinform. Rui Kuang, Christina S. Leslie, An-Suei Yang
2003	A*	`conf`	Fast Kernels for Inexact String Matching. COLT Christina S. Leslie, Rui Kuang
2003	—	`conf`	Semi-supervised Protein Classification Using Cluster Kernels. NIPS Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
2002	—	`conf`	A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
2002	—	`conf`	A Kernel Approach for Learning from almost Orthogonal Patterns. ECML Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
2002	—	`conf`	Mismatch String Kernels for SVM Protein Classification. NIPS Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble
2002	Misc	`conf`	The Spectrum Kernel: A String Kernel for SVM Protein Classification. Pacific Symposium on Biocomputing Christina S. Leslie, Eleazar Eskin, William Stafford Noble