Christina S. Leslie

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 4

Top Topics

Spatial Analysis

Transcription Factor Binding Sites

Top Venues

PLoS Comput. Biol.

ICCV (Workshops)

Publications

Dig Vijay Kumar Yarlagadda, Joan Massagué, Christina S. Leslie
Discrete Representation Learning for Modeling Imaging-based Spatial Transcriptomics Data. ICCV (Workshops) (2023)
Christina S. Leslie
Decoding Epigenomic Programs in Immunity and Cancer. BCB (2019)
Shih-Han Lee, Irtisha Singh, Sarah Tisdale, Omar Abdel Wahab, Christina S. Leslie, Christine Mayr
Widespread intronic polyadenylation inactivates tumour suppressor genes in leukaemia. Nat. 561 (7721) (2018)
Yuheng Lu, Christina S. Leslie
Learning to Predict miRNA-mRNA Interactions from AGO CLIP Sequencing and CLASH Data. PLoS Comput. Biol. 12 (7) (2016)
Manu Setty, Christina S. Leslie
SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps. PLoS Comput. Biol. 11 (5) (2015)
Iain Melvin, Jason Weston, William Stafford Noble, Christina S. Leslie
Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding. PLoS Comput. Biol. 7 (1) (2011)
Christina S. Leslie
Keynote: High-resolution sequence and chromatin signatures predict transcription factor binding in the human genome. ICCABS (2011)
Xuejing Li, Casandra Panea, Chris H. Wiggins, Valerie Reinke, Christina S. Leslie
Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development. PLoS Comput. Biol. 6 (4) (2010)
Guy Nimrod, Maya Schushan, András Szilágyi, Christina S. Leslie, Nir Ben-Tal
iDBPs: a web server for the identification of DNA binding proteins. Bioinform. 26 (5) (2010)
Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina S. Leslie
Binding Predictions. PLoS Comput. Biol. 6 (9) (2010)
Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble
RANKPROP: a web server for protein remote homology detection. Bioinform. 25 (1) (2009)
Iain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble
Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinform. 9 (2008)
Doron Betel, Christina S. Leslie, Nikolaus Rajewsky
Session Introduction. Pacific Symposium on Biocomputing (2008)
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 Comput. Biol. 4 (11) (2008)
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 Bioinform. 8 (S-10) (2007)
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 Bioinform. 8 (S-4) (2007)
Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie
Multi-class Protein Classification Using Adaptive Codes. J. Mach. Learn. Res. 8 (2007)
Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble
Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinform. 7 (S-1) (2006)
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 Bioinform. 7 (S-1) (2006)
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. Biol. Bioinform. 2 (3) (2005)
Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie
Motif-based protein ranking by network propagation. Bioinform. 21 (19) (2005)
Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie
Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB (2005)
Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie
Multi-class protein fold recognition using adaptive codes. ICML (2005)
Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble
Semi-supervised protein classification using cluster kernels. Bioinform. 21 (15) (2005)
Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble
Mismatch string kernels for discriminative protein classification. Bioinform. 20 (4) (2004)
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) (2004)
Christina S. Leslie, Rui Kuang
Fast String Kernels using Inexact Matching for Protein Sequences. J. Mach. Learn. Res. 5 (2004)
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics (2004)
Rui Kuang, Christina S. Leslie, An-Suei Yang
Protein backbone angle prediction with machine learning approaches. Bioinform. 20 (10) (2004)
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)
Christina S. Leslie, Rui Kuang
Fast Kernels for Inexact String Matching. COLT (2003)
Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
Semi-supervised Protein Classification Using Cluster Kernels. NIPS (2003)
Christina S. Leslie, Eleazar Eskin, William Stafford Noble
The Spectrum Kernel: A String Kernel for SVM Protein Classification. Pacific Symposium on Biocomputing (2002)
Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD (2002)
Christina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble
Mismatch String Kernels for SVM Protein Classification. NIPS (2002)
Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
A Kernel Approach for Learning from almost Orthogonal Patterns. ECML (2002)