Christina S. Leslie

According to our database, Christina S. Leslie authored at least 38 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Discrete Representation Learning for Modeling Imaging-based Spatial Transcriptomics Data.

Dig Vijay Kumar Yarlagadda, Joan Massagué, Christina S. Leslie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2019

Decoding Epigenomic Programs in Immunity and Cancer.

Christina S. Leslie

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Widespread intronic polyadenylation inactivates tumour suppressor genes in leukaemia.

Shih-Han Lee, Irtisha Singh, Sarah Tisdale, Omar Abdel Wahab, Christina S. Leslie, Christine Mayr

Nat., 2018

2017

Learning Models of Biological Sequences.

William Stafford Noble, Christina S. Leslie

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2016

Learning to Predict miRNA-mRNA Interactions from AGO CLIP Sequencing and CLASH Data.

Yuheng Lu, Christina S. Leslie

PLoS Comput. Biol., 2016

2015

SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps.

Manu Setty, Christina S. Leslie

PLoS Comput. Biol., 2015

2011

Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding.

Iain Melvin, Jason Weston, William Stafford Noble, Christina S. Leslie

PLoS Comput. Biol., 2011

Keynote: High-resolution sequence and chromatin signatures predict transcription factor binding in the human genome.

Christina S. Leslie

Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

2010

Learning Models of Biological Sequences.

William Stafford Noble, Christina S. Leslie

Proceedings of the Encyclopedia of Machine Learning, 2010

Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development.

Xuejing Li, Casandra Panea, Chris H. Wiggins, Valerie Reinke, Christina S. Leslie

PLoS Comput. Biol., 2010

High Resolution Models of Transcription Factor-DNA Affinities Improve <i>In Vitro</i> and <i>In Vivo</i> Binding Predictions.

Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina S. Leslie

PLoS Comput. Biol., 2010

iDBPs: a web server for the identification of DNA binding proteins.

Guy Nimrod, Maya Schushan, András Szilágyi, Christina S. Leslie, Nir Ben-Tal

Bioinform., 2010

2009

RANKPROP: a web server for protein remote homology detection.

Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble

Bioinform., 2009

2008

A Predictive Model of the Oxygen and Heme Regulatory Network in Yeast.

Anshul Kundaje, Xiantong Xin, Changgui Lan, Steve Lianoglou, Mei Zhou, Li Zhang, Christina S. Leslie

PLoS Comput. Biol., 2008

Combining classifiers for improved classification of proteins from sequence or structure.

Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble

BMC Bioinform., 2008

Session Introduction.

Doron Betel, Christina S. Leslie, Nikolaus Rajewsky

Proceedings of the Biocomputing 2008, 2008

2007

Multi-class Protein Classification Using Adaptive Codes.

Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie

J. Mach. Learn. Res., 2007

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.

Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie

BMC Bioinform., 2007

NIPS workshop on New Problems and Methods in Computational Biology.

Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda

BMC Bioinform., 2007

2006

Protein Ranking by Semi-Supervised Network Propagation.

Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble

BMC Bioinform., 2006

A classification-based framework for predicting and analyzing gene regulatory response.

Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie

BMC Bioinform., 2006

Semi-Supervised Protein Classification Using Cluster Kernels.

Jason Weston, Christina S. Leslie, Eugene Ie, William Stafford Noble

Proceedings of the Semi-Supervised Learning, 2006

2005

Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules.

Anshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Semi-supervised protein classification using cluster kernels.

Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble

Bioinform., 2005

Motif-based protein ranking by network propagation.

Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie

Bioinform., 2005

Motif Discovery Through Predictive Modeling of Gene Regulation.

Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie

Proceedings of the Research in Computational Molecular Biology, 2005

Multi-class protein fold recognition using adaptive codes.

Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie

Proceedings of the Machine Learning, 2005

2004

Fast String Kernels using Inexact Matching for Protein Sequences.

Christina S. Leslie, Rui Kuang

J. Mach. Learn. Res., 2004

Mismatch string kernels for discriminative protein classification.

Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble

Bioinform., 2004

Protein backbone angle prediction with machine learning approaches.

Rui Kuang, Christina S. Leslie, An-Suei Yang

Bioinform., 2004

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response.

Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie

Proceedings of the Regulatory Genomics, 2004

Predicting genetic regulatory response using classification.

Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Profile-Based String Kernels for Remote Homology Detection and Motif Extraction.

Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

Semi-supervised Protein Classification Using Cluster Kernels.

Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Fast Kernels for Inexact String Matching.

Christina S. Leslie, Rui Kuang

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

The Spectrum Kernel: A String Kernel for SVM Protein Classification.

Christina S. Leslie, Eleazar Eskin, William Stafford Noble

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

A Kernel Approach for Learning from Almost Orthogonal Patterns.

Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Mismatch String Kernels for SVM Protein Classification.

Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002