Eran Segal

According to our database, Eran Segal authored at least 46 papers between 2000 and 2025.

Collaborative distances:

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

2025

Improving Diseases Predictions Utilizing External Bio-Banks.

Hido Pinto, Eran Segal

CoRR, April, 2025

Causal Representation Learning from Multimodal Biomedical Observations.

Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification.

Yingxu Wang, Victor Liang, Nan Yin, Siwei Liu, Eran Segal

CoRR, 2024

Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels.

Le Song, Eran Segal, Eric P. Xing

CoRR, 2024

Causal Representation Learning from Multimodal Biological Observations.

Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

CoRR, 2024

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes.

Li Zhang, Basu Jindal, Ahmed Alaa, Robert Weinreb, David Wilson, Eran Segal, James Zou, Pengtao Xie

CoRR, 2024

From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis.

Guy Lutsker, Gal Sapir, Anastasia Godneva, Smadar Shilo, Jerry R. Greenfield, Dorit Samocha-Bonet, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal

CoRR, 2024

COMPRER: A Multimodal Multi-Objective Pretraining Framework for Enhanced Medical Image Representation.

Guy Lutsker, Hagai Rossman, Nastya Godiva, Eran Segal

CoRR, 2024

2023

A Multimodal Dataset of 21, 412 Recorded Nights for Sleep and Respiratory Research.

Alon Diament, Maria Gorodetski, Adam Jankelow, Ayya Keshet, Tal Shor, Daphna Weissglas-Volkov, Hagai Rossman, Eran Segal

CoRR, 2023

2022

BIPS - A code base for designing and coding of a Phage ImmunoPrecipitation Oligo Library.

Sigal Leviatan, Iris N. Kalka, Thomas Vogl, Shelley Klompas, Adina Weinberger, Eran Segal

PLoS Comput. Biol., November, 2022

2021

Harnessing Big Data for Personalized Medicine.

Eran Segal

Proceedings of the WSDM '21, 2021

2019

Structural variation in the gut microbiome associates with host health.

David Zeevi, Tal Korem, Anastasia Godneva, Noam Bar, Alexander Kurilshikov, Maya Lotan-Pompan, Adina Weinberger, Jingyuan Fu, Cisca Wijmenga, Alexandra Zhernakova, Eran Segal

Nat., 2019

2018

Regularization Learning Networks.

Ira Shavitt, Eran Segal

CoRR, 2018

Regularization Learning Networks: Deep Learning for Tabular Datasets.

Ira Shavitt, Eran Segal

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.

Alexey A. Gritsenko, Shira Weingarten-Gabbay, Shani Elias-Kirma, Ronit Nir, Dick de Ridder, Eran Segal

PLoS Comput. Biol., 2017

2015

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

Ohad Manor, Eran Segal

Bioinform., 2015

Use of a Computerized Clinical System as a Monitoring Tool for Infection Control.

Stas Zusman, Alexander Axel, Liat Touderis, Pnina Schlaeffer, Eran Segal

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.

Ophir Shalem, Lucas B. Carey, Danny Zeevi, Eilon Sharon, Leeat Keren, Adina Weinberger, Orna Dahan, Yitzhak Pilpel, Eran Segal

PLoS Comput. Biol., 2013

Predicting Disease Risk Using Bootstrap Ranking and Classification Algorithms.

Ohad Manor, Eran Segal

PLoS Comput. Biol., 2013

2010

Widespread Compensatory Evolution Conserves DNA-Encoded Nucleosome Organization in Yeast.

Ephraim Kenigsberg, Amir Bar, Eran Segal, Amos Tanay

PLoS Comput. Biol., 2010

2009

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

Shai Lubliner, Eran Segal

Bioinform., 2009

Incorporating Nucleosomes into Thermodynamic Models of Transcription Regulation.

Tali Raveh-Sadka, Michal Levo, Eran Segal

Proceedings of the Research in Computational Molecular Biology, 2009

2008

Estimating Cell Depth from Somatic Mutations.

Adam Wasserstrom, Dan Frumkin, Rivka Adar, Shalev Itzkovitz, Tomer Stern, Shai Kaplan, Gabi Shefer, Irena Shur, Lior Zangi, Yitzhak Reizel, Alon Harmelin, Yuval Dor, Nava Dekel, Yair Reisner, Dafna Benayahu, Eldad Tzahor, Eran Segal, Ehud Shapiro

PLoS Comput. Biol., 2008

Preferentially Quantized Linker DNA Lengths in <i>Saccharomyces cerevisiae</i>.

Ji-Ping Wang, Yvonne Fondufe-Mittendorf, Liqun Xi, Guei-Feng Tsai, Eran Segal, Jonathan Widom

PLoS Comput. Biol., 2008

A Feature-Based Approach to Modeling Protein-DNA Interactions.

Eilon Sharon, Shai Lubliner, Eran Segal

PLoS Comput. Biol., 2008

Distinct Modes of Regulation by Chromatin Encoded through Nucleosome Positioning Signals.

Yair Field, Noam Kaplan, Yvonne Fondufe-Mittendorf, Irene K. Moore, Eilon Sharon, Yaniv Lubling, Jonathan Widom, Eran Segal

PLoS Comput. Biol., 2008

Using Expression Profiles of <i>Caenorhabditis elegans</i> Neurons To Identify Genes That Mediate Synaptic Connectivity.

Leehod Baruch, Shalev Itzkovitz, Michal Golan-Mashiach, Ehud Shapiro, Eran Segal

PLoS Comput. Biol., 2008

2007

A Feature-Based Approach to Modeling Protein-DNA Interactions.

Eilon Sharon, Eran Segal

Proceedings of the Research in Computational Molecular Biology, 2007

2005

Session Introduction: Joint Learning from Multiple Types of Genomic Data.

Alexander J. Hartemink, Eran Segal

Proceedings of the Biocomputing 2005, 2005

2004

Rich probabilistic models for genomic data.

Eran Segal

PhD thesis, 2004

A discriminative model for identifying spatial cis-regulatory modules.

Eran Segal, Roded Sharan

Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004

Probabilistic discovery of overlapping cellular processes and their regulation.

Alexis J. Battle, Eran Segal, Daphne Koller

Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004

Session Introduction.

Alexander J. Hartemink, Eran Segal

Proceedings of the Biocomputing 2004, 2004

Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale.

Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Learning Module Networks.

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman

Proceedings of the UAI '03, 2003

Decomposing Gene Expression into Cellular Processes.

Eran Segal, Alexis J. Battle, Daphne Koller

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.

Eran Segal, R. Yelensky, Daphne Koller

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.

Eran Segal, Haidong Wang, Daphne Koller

Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

2002

Probabilistic hierarchical clustering for biological data.

Eran Segal, Daphne Koller

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

From promoter sequence to expression: a probabilistic framework.

Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Boosting Density Estimation.

Saharon Rosset, Eran Segal

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.

Uri Lerner, Eran Segal, Daphne Koller

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Probabilistic Abstraction Hierarchies.

Eran Segal, Daphne Koller, Dirk Ormoneit

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

Rich probabilistic models for gene expression.

Eran Segal, Benjamin Taskar, Audrey P. Gasch, Nir Friedman, Daphne Koller

Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Probabilistic Classification and Clustering in Relational Data.

Benjamin Taskar, Eran Segal, Daphne Koller

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Efficient bundle sorting.

Yossi Matias, Eran Segal, Jeffrey Scott Vitter

Proceedings of the Eleventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2000