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Eran Segal
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- affiliation: Weizmann Institute of Science, Rehovot, Israel
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2020 – today
- 2024
- [i7]Guy Lutsker, Hagai Rossman, Nastya Godiva, Eran Segal:
COMPRER: A Multimodal Multi-Objective Pretraining Framework for Enhanced Medical Image Representation. CoRR abs/2403.09672 (2024) - [i6]Guy Lutsker, Gal Sapir, Anastasia Godneva, Smadar Shilo, Jerry R. Greenfield, Dorit Samocha-Bonet, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal:
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis. CoRR abs/2408.11876 (2024) - [i5]Li Zhang, Basu Jindal, Ahmed Alaa, Robert Weinreb, David Wilson, Eran Segal, James Zou, Pengtao Xie:
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. CoRR abs/2408.17421 (2024) - 2023
- [i4]Alon Diament, Maria Gorodetski, Adam Jankelow, Ayya Keshet, Tal Shor, Daphna Weissglas-Volkov, Hagai Rossman, Eran Segal:
A Multimodal Dataset of 21, 412 Recorded Nights for Sleep and Respiratory Research. CoRR abs/2311.08979 (2023) - 2022
- [j17]Sigal Leviatan, Iris N. Kalka, Thomas Vogl, Shelley Klompas, Adina Weinberger, Eran Segal:
BIPS - A code base for designing and coding of a Phage ImmunoPrecipitation Oligo Library. PLoS Comput. Biol. 18(11): 1010663 (2022) - 2021
- [c22]Eran Segal:
Harnessing Big Data for Personalized Medicine. WSDM 2021: 3
2010 – 2019
- 2019
- [j16]David Zeevi, Tal Korem, Anastasia Godneva, Noam Bar, Alexander Kurilshikov, Maya Lotan-Pompan, Adina Weinberger, Jingyuan Fu, Cisca Wijmenga, Alexandra Zhernakova, Eran Segal:
Structural variation in the gut microbiome associates with host health. Nat. 568(7750): 43-48 (2019) - 2018
- [c21]Ira Shavitt, Eran Segal:
Regularization Learning Networks: Deep Learning for Tabular Datasets. NeurIPS 2018: 1386-1396 - [i3]Ira Shavitt, Eran Segal:
Regularization Learning Networks. CoRR abs/1805.06440 (2018) - 2017
- [j15]Alexey A. Gritsenko, Shira Weingarten-Gabbay, Shani Elias-Kirma, Ronit Nir, Dick de Ridder, Eran Segal:
Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity. PLoS Comput. Biol. 13(9) (2017) - 2015
- [j14]Ohad Manor, Eran Segal:
GenoExp: a web tool for predicting gene expression levels from single nucleotide polymorphisms. Bioinform. 31(11): 1848-1850 (2015) - [c20]Stas Zusman, Alexander Axel, Liat Touderis, Pnina Schlaeffer, Eran Segal:
Use of a Computerized Clinical System as a Monitoring Tool for Infection Control. MIE 2015: 977-978 - 2013
- [j13]Ophir Shalem, Lucas B. Carey, Danny Zeevi, Eilon Sharon, Leeat Keren, Adina Weinberger, Orna Dahan, Yitzhak Pilpel, Eran Segal:
Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects. PLoS Comput. Biol. 9(3) (2013) - [j12]Ohad Manor, Eran Segal:
Predicting Disease Risk Using Bootstrap Ranking and Classification Algorithms. PLoS Comput. Biol. 9(8) (2013) - [i2]Uri Lerner, Eran Segal, Daphne Koller:
Exact Inference in Networks with Discrete Children of Continuous Parents. CoRR abs/1301.2289 (2013) - 2012
- [i1]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. CoRR abs/1212.2517 (2012) - 2010
- [j11]Ephraim Kenigsberg, Amir Bar, Eran Segal, Amos Tanay:
Widespread Compensatory Evolution Conserves DNA-Encoded Nucleosome Organization in Yeast. PLoS Comput. Biol. 6(12) (2010)
2000 – 2009
- 2009
- [j10]Shai Lubliner, Eran Segal:
Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy. Bioinform. 25(12) (2009) - [c19]Tali Raveh-Sadka, Michal Levo, Eran Segal:
Incorporating Nucleosomes into Thermodynamic Models of Transcription Regulation. RECOMB 2009: 217 - 2008
- [j9]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:
Estimating Cell Depth from Somatic Mutations. PLoS Comput. Biol. 4(5) (2008) - [j8]Leehod Baruch, Shalev Itzkovitz, Michal Golan-Mashiach, Ehud Shapiro, Eran Segal:
Using Expression Profiles of Caenorhabditis elegans Neurons To Identify Genes That Mediate Synaptic Connectivity. PLoS Comput. Biol. 4(7) (2008) - [j7]Eilon Sharon, Shai Lubliner, Eran Segal:
A Feature-Based Approach to Modeling Protein-DNA Interactions. PLoS Comput. Biol. 4(8) (2008) - [j6]Ji-Ping Wang, Yvonne Fondufe-Mittendorf, Liqun Xi, Guei-Feng Tsai, Eran Segal, Jonathan Widom:
Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae. PLoS Comput. Biol. 4(9) (2008) - [j5]Yair Field, Noam Kaplan, Yvonne Fondufe-Mittendorf, Irene K. Moore, Eilon Sharon, Yaniv Lubling, Jonathan Widom, Eran Segal:
Distinct Modes of Regulation by Chromatin Encoded through Nucleosome Positioning Signals. PLoS Comput. Biol. 4(11) (2008) - 2007
- [c18]Eilon Sharon, Eran Segal:
A Feature-Based Approach to Modeling Protein-DNA Interactions. RECOMB 2007: 77-91 - 2006
- [j4]Yossi Matias, Eran Segal, Jeffrey Scott Vitter:
Efficient Bundle Sorting. SIAM J. Comput. 36(2): 394-410 (2006) - 2005
- [j3]Eran Segal, Roded Sharan:
A Discriminative Model for Identifying Spatial cis-Regulatory Modules. J. Comput. Biol. 12(6): 822-834 (2005) - [j2]Alexis J. Battle, Eran Segal, Daphne Koller:
Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. J. Comput. Biol. 12(7): 909-927 (2005) - [j1]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. J. Mach. Learn. Res. 6: 557-588 (2005) - [c17]Alexander J. Hartemink, Eran Segal:
Session Introduction: Joint Learning from Multiple Types of Genomic Data. Pacific Symposium on Biocomputing 2005 - 2004
- [b1]Eran Segal:
Rich probabilistic models for genomic data. Stanford University, USA, 2004 - [c16]Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag:
Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS 2004: 1465-1472 - [c15]Alexander J. Hartemink, Eran Segal:
Session Introduction. Pacific Symposium on Biocomputing 2004: 262-263 - [c14]Eran Segal, Roded Sharan:
A discriminative model for identifying spatial cis-regulatory modules. RECOMB 2004: 141-149 - [c13]Alexis J. Battle, Eran Segal, Daphne Koller:
Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB 2004: 167-176 - 2003
- [c12]Eran Segal, Haidong Wang, Daphne Koller:
Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) 2003: 264-272 - [c11]Eran Segal, R. Yelensky, Daphne Koller:
Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. ISMB (Supplement of Bioinformatics) 2003: 273-282 - [c10]Eran Segal, Alexis J. Battle, Daphne Koller:
Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing 2003: 89-100 - [c9]Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks. UAI 2003: 525-534 - 2002
- [c8]Saharon Rosset, Eran Segal:
Boosting Density Estimation. NIPS 2002: 641-648 - [c7]Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller:
From promoter sequence to expression: a probabilistic framework. RECOMB 2002: 263-272 - [c6]Eran Segal, Daphne Koller:
Probabilistic hierarchical clustering for biological data. RECOMB 2002: 273-280 - 2001
- [c5]Benjamin Taskar, Eran Segal, Daphne Koller:
Probabilistic Classification and Clustering in Relational Data. IJCAI 2001: 870-878 - [c4]Eran Segal, Benjamin Taskar, Audrey P. Gasch, Nir Friedman, Daphne Koller:
Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) 2001: 243-252 - [c3]Eran Segal, Daphne Koller, Dirk Ormoneit:
Probabilistic Abstraction Hierarchies. NIPS 2001: 913-920 - [c2]Uri Lerner, Eran Segal, Daphne Koller:
Exact Inference in Networks with Discrete Children of Continuous Parents. UAI 2001: 319-328 - 2000
- [c1]Yossi Matias, Eran Segal, Jeffrey Scott Vitter:
Efficient bundle sorting. SODA 2000: 839-848
Coauthor Index
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