Eran Segal

According to our database1, Eran Segal authored at least 33 papers between 2001 and 2018.

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Bibliography

2018
Regularization Learning Networks.
CoRR, 2018

Regularization Learning Networks: Deep Learning for Tabular Datasets.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity.
PLoS Computational Biology, 2017

2015
GenoExp: a web tool for predicting gene expression levels from single nucleotide polymorphisms.
Bioinform., 2015

Use of a Computerized Clinical System as a Monitoring Tool for Infection Control.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

2013
Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects.
PLoS Computational Biology, 2013

Predicting Disease Risk Using Bootstrap Ranking and Classification Algorithms.
PLoS Computational Biology, 2013

2010
Widespread Compensatory Evolution Conserves DNA-Encoded Nucleosome Organization in Yeast.
PLoS Computational Biology, 2010

2009
Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy.
Bioinform., 2009

Incorporating Nucleosomes into Thermodynamic Models of Transcription Regulation.
Proceedings of the Research in Computational Molecular Biology, 2009

2008
Estimating Cell Depth from Somatic Mutations.
PLoS Computational Biology, 2008

Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae.
PLoS Computational Biology, 2008

A Feature-Based Approach to Modeling Protein-DNA Interactions.
PLoS Computational Biology, 2008

Distinct Modes of Regulation by Chromatin Encoded through Nucleosome Positioning Signals.
PLoS Computational Biology, 2008

Using Expression Profiles of Caenorhabditis elegans Neurons To Identify Genes That Mediate Synaptic Connectivity.
PLoS Computational Biology, 2008

2007
A Feature-Based Approach to Modeling Protein-DNA Interactions.
Proceedings of the Research in Computational Molecular Biology, 2007

2006
Efficient Bundle Sorting.
SIAM J. Comput., 2006

2005
Learning Module Networks.
J. Mach. Learn. Res., 2005

A Discriminative Model for Identifying Spatial cis-Regulatory Modules.
J. Comput. Biol., 2005

Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation.
J. Comput. Biol., 2005

Session Introduction: Joint Learning from Multiple Types of Genomic Data.
Proceedings of the Biocomputing 2005, 2005

2004
Session Introduction.
Proceedings of the Biocomputing 2004, 2004

Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Decomposing Gene Expression into Cellular Processes.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

Discovering molecular pathways from protein interaction and gene expression data.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

2002
Probabilistic hierarchical clustering for biological data.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

From promoter sequence to expression: a probabilistic framework.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Boosting Density Estimation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Exact Inference in Networks with Discrete Children of Continuous Parents.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Probabilistic Abstraction Hierarchies.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Rich probabilistic models for gene expression.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Probabilistic Classification and Clustering in Relational Data.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001


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