Zohar Yakhini

According to our database, Zohar Yakhini authored at least 67 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

Privacy Preserving Feature Selection for Sparse Linear Regression.

Adi Akavia, Ben Galili, Hayim Shaul, Mor Weiss, Zohar Yakhini

Proc. Priv. Enhancing Technol., January, 2024

Sequencing Coverage Analysis for Combinatorial DNA-Based Storage Systems.

Inbal Preuss, Ben Galili, Zohar Yakhini, Leon Anavy

IEEE Trans. Mol. Biol. Multi Scale Commun., 2024

Sequence Design and Reconstruction Under the Repeat Channel in Enzymatic DNA Synthesis.

Roy Shafir, Omer Sabary, Leon Anavy, Eitan Yaakobi, Zohar Yakhini

IEEE Trans. Commun., 2024

HIPI: Spatially resolved multiplexed protein expression inferred from H&E WSIs.

Ron Zeira, Leon Anavy, Zohar Yakhini, Ehud Rivlin, Daniel Freedman

PLoS Comput. Biol., 2024

High Information Density and Low Coverage Data Storage in DNA with Efficient Channel Coding Schemes.

Yi Ding, Xuan He, Tuan Thanh Nguyen, Wentu Song, Zohar Yakhini, Eitan Yaakobi, Linqiang Pan, Xiaohu Tang, Kui Cai

CoRR, 2024

Generative Topological Networks.

Alona Levy-Jurgenson, Zohar Yakhini

CoRR, 2024

Tighter Bounds on the Information Bottleneck with Application to Deep Learning.

Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach

CoRR, 2024

Error-Correcting Codes for Combinatorial DNA Composite.

Omer Sabary, Inbal Preuss, Ryan Gabrys, Zohar Yakhini, Leon Anavy, Eitan Yaakobi

CoRR, 2024

Error-Correcting Codes for Combinatorial Composite DNA.

Omer Sabary, Inbal Preuss, Ryan Gabrys, Zohar Yakhini, Leon Anavy, Eitan Yaakobi

Proceedings of the IEEE International Symposium on Information Theory, 2024

Representing Information on DNA Using Patterns Induced by Enzymatic Labeling.

Daniella Bar-Lev, Tuvi Etzion, Eitan Yaakobi, Zohar Yakhini

Proceedings of the IEEE International Symposium on Information Theory, 2024

Efficient Random Sampling from Very Large Databases.

Idan Cohen, Aviv Yehezkel, Zohar Yakhini

Proceedings of the Database and Expert Systems Applications, 2024

2023

Efficient Privacy-Preserving Viral Strain Classification via k-mer Signatures and FHE.

Adi Akavia, Ben Galili, Hayim Shaul, Mor Weiss, Zohar Yakhini

IACR Cryptol. ePrint Arch., 2023

2022

Generating Alerts from Breathing Pattern Outliers.

Chloé Benmussa, Jessica R. Cauchard, Zohar Yakhini

Sensors, 2022

2021

Erratum to: Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging.

Alona Levy-Jurgenson, Xavier Tekpli, Zohar Yakhini

Bioinform., November, 2021

miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.

Shay Ben-Elazar, Miriam Ragle Aure, Kristin Jonsdottir, Suvi-Katri Leivonen, Vessela N. Kristensen, Emiel A. M. Janssen, Kristine Kleivi Sahlberg, Ole Christian Lingjærde, Zohar Yakhini

PLoS Comput. Biol., 2021

SOLQC: Synthetic Oligo Library Quality Control tool.

Omer Sabary, Yoav Orlev, Roy Shafir, Leon Anavy, Eitan Yaakobi, Zohar Yakhini

Bioinform., 2021

Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging.

Alona Levy-Jurgenson, Xavier Tekpli, Zohar Yakhini

Bioinform., 2021

On the stability of log-rank test under labeling errors.

Ben Galili, Anat Samohi, Zohar Yakhini

Bioinform., 2021

Sequence Reconstruction Under Stutter Noise in Enzymatic DNA Synthesis.

Roy Shafir, Omer Sabary, Leon Anavy, Eitan Yaakobi, Zohar Yakhini

Proceedings of the IEEE Information Theory Workshop, 2021

Autoencoder Image Interpolation by Shaping the Latent Space.

Alon Oring, Zohar Yakhini, Yacov Hel-Or

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Faithful Autoencoder Interpolation by Shaping the Latent Space.

Alon Oring, Zohar Yakhini, Yacov Hel-Or

CoRR, 2020

IoT or NoT: Identifying IoT Devices in a Short Time Scale.

Anat Bremler-Barr, Haim Levy, Zohar Yakhini

Proceedings of the NOMS 2020, 2020

2019

Linear-Regression on Packed Encrypted Data in the Two-Server Model.

Adi Akavia, Hayim Shaul, Mor Weiss, Zohar Yakhini

IACR Cryptol. ePrint Arch., 2019

IoT or NoT: Identifying IoT Devices in a ShortTime Scale.

Anat Bremler-Barr, Haim Levy, Zohar Yakhini

CoRR, 2019

Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention.

Alona Levy-Jurgenson, Xavier Tekpli, Vessela N. Kristensen, Zohar Yakhini

Proceedings of the Algorithms for Computational Biology - 6th International Conference, 2019

2018

SMARTIV: combined sequence and structure de-novo motif discovery for in-vivo RNA binding data.

Maya Polishchuk, Inbal Paz, Zohar Yakhini, Yael Mandel-Gutfreund

Nucleic Acids Res., 2018

2017

Optimizing Analytical Depth and Cost Efficiency of IEF-LC/MS Proteomics.

Ilona Kifer, Rui Mamede Branca, Amir Ben-Dor, Linhui Zhai, Ping Xu, Janne Lehtiö, Zohar Yakhini

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Mutual enrichment in aggregated ranked lists with applications to gene expression regulation.

Dalia Cohn-Alperovich, Alona Rabner, Ilona Kifer, Yael Mandel-Gutfreund, Zohar Yakhini

Bioinform., 2017

2016

Extending partial haplotypes to full genome haplotypes using chromosome conformation capture data.

Shay Ben-Elazar, Benny Chor, Zohar Yakhini

Bioinform., 2016

2015

RNAPattMatch: a web server for RNA sequence/structure motif detection based on pattern matching with flexible gaps.

Matan Drory Retwitzer, Maya Polishchuk, Elena Churkin, Ilona Kifer, Zohar Yakhini, Danny Barash

Nucleic Acids Res., 2015

ENViz: a Cytoscape App for integrated statistical analysis and visualization of sample-matched data with multiple data types.

Israel Steinfeld, Roy Navon, Michael L. Creech, Zohar Yakhini, Anya Tsalenko

Bioinform., 2015

2014

Mutual enrichment in ranked lists and the statistical assessment of position weight matrix motifs.

Limor Leibovich, Zohar Yakhini

Algorithms Mol. Biol., 2014

Optimizing analytical depth and cost efficiency of IEF-LC/MS proteomics.

Ilona Kifer, Amir Ben-Dor, Zohar Yakhini, Rui Mamede Branca, Janne Lehtiö, Ping Xu

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

DRIMust: a web server for discovering rank imbalanced motifs using suffix trees.

Limor Leibovich, Inbal Paz, Zohar Yakhini, Yael Mandel-Gutfreund

Nucleic Acids Res., 2013

2012

Dotted interval graphs.

Yonatan Aumann, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, Zohar Yakhini

ACM Trans. Algorithms, 2012

2011

Cancer Computational Biology.

Zohar Yakhini, Igor Jurisica

BMC Bioinform., 2011

2009

<i>GOrilla</i>: a tool for discovery and visualization of enriched GO terms in ranked gene lists.

Eran Eden, Roy Navon, Israel Steinfeld, Doron Lipson, Zohar Yakhini

BMC Bioinform., 2009

2008

Clinically driven semi-supervised class discovery in gene expression data.

Israel Steinfeld, Roy Navon, Diego Ardigò, Ivana Zavaroni, Zohar Yakhini

Proceedings of the ECCB'08 Proceedings, 2008

2007

Discovering Motifs in Ranked Lists of DNA Sequences.

Eran Eden, Doron Lipson, Sivan Yogev, Zohar Yakhini

PLoS Comput. Biol., 2007

Semi-supervised class discovery using quantitative phenotypes - CVD as a case study.

Israel Steinfeld, Roy Navon, Diego Ardigò, Ivana Zavaroni, Zohar Yakhini

BMC Bioinform., 2007

A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data.

Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan

Bioinform., 2007

Similarities and differences of gene expression in yeast stress conditions.

Oleg Rokhlenko, Ydo Wexler, Zohar Yakhini

Bioinform., 2007

Optimization of probe coverage for high-resolution oligonucleotide aCGH.

Doron Lipson, Zohar Yakhini, Yonatan Aumann

Bioinform., 2007

Framework for Identifying Common Aberrations in DNA Copy Number Data.

Amir Ben-Dor, Doron Lipson, Anya Tsalenko, Mark Reimers, Lars O. Baumbusch, Michael T. Barrett, John N. Weinstein, Anne-Lise Børresen-Dale, Zohar Yakhini

Proceedings of the Research in Computational Molecular Biology, 2007

2006

A High-Throughput Approach for Associating MicroRNAs with Their Activity Conditions.

Chaya Ben-Zaken Zilberstein, Michal Ziv-Ukelson, Ron Y. Pinter, Zohar Yakhini

J. Comput. Biol., 2006

Efficient Calculation of Interval Scores for DNA Copy Number Data Analysis.

Doron Lipson, Yonatan Aumann, Amir Ben-Dor, Nathan Linial, Zohar Yakhini

J. Comput. Biol., 2006

Analysis of Snp-expression Association Matrices.

Anya Tsalenko, Roded Sharan, Vessela N. Kristensen, Hege Edvardsen, Anne-Lise Børresen-Dale, Amir Ben-Dor, Zohar Yakhini

J. Bioinform. Comput. Biol., 2006

2005

Designing optimally multiplexed SNP genotyping assays.

Yonatan Aumann, Efrat Manisterski, Zohar Yakhini

J. Comput. Syst. Sci., 2005

Finding Approximate Tandem Repeats in Genomic Sequences.

Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Geiger

J. Comput. Biol., 2005

Multiplexing Schemes for Generic SNP Genotyping Assays.

Roded Sharan, Jens Gramm, Zohar Yakhini, Amir Ben-Dor

J. Comput. Biol., 2005

Exploratory visualization of array-based comparative genomic hybridization.

Robert Kincaid, Amir Ben-Dor, Zohar Yakhini

Inf. Vis., 2005

Dotted interval graphs and high throughput genotyping.

Yonatan Aumann, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, Zohar Yakhini

Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

2004

Towards Optimally Multiplexed Applications of Universal Arrays.

Amir Ben-Dor, Tzvika Hartman, Richard M. Karp, Benno Schwikowski, Roded Sharan, Zohar Yakhini

J. Comput. Biol., 2004

Joint Analysis of DNA Copy Numbers and Gene Expression Levels.

Doron Lipson, Amir Ben-Dor, Elinor Dehan, Zohar Yakhini

Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

Using Expression Data to Discover RNA and DNA Regulatory Sequence Motifs.

Chaya Ben-Zaken Zilberstein, Eleazar Eskin, Zohar Yakhini

Proceedings of the Regulatory Genomics, 2004

Multiplexing Schemes for Generic SNP Genotyping Assays.

Roded Sharan, Amir Ben-Dor, Zohar Yakhini

Proceedings of the Biocomputing 2004, 2004

2003

Discovering Local Structure in Gene Expression Data: The Order-Preserving Submatrix Problem.

Amir Ben-Dor, Benny Chor, Richard M. Karp, Zohar Yakhini

J. Comput. Biol., 2003

A Distance-Based Branch and Bound Feature Selection Algorithm.

Ari Frank, Dan Geiger, Zohar Yakhini

Proceedings of the UAI '03, 2003

Towards optimally multiplexed applications of universal DNA tag systems.

Amir Ben-Dor, Tzvika Hartman, Benno Schwikowski, Roded Sharan, Zohar Yakhini

Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

Methods for Analysis and Visualization of SNP Genotype Data for Complex Diseases.

Anna Tsalenko, Amir Ben-Dor, Nancy Cox, Zohar Yakhini

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

2002

Designing Specific Oligonucleotide Probes for the Entire S. cerevisiae Transcriptome.

Doron Lipson, Peter Webb, Zohar Yakhini

Proceedings of the Algorithms in Bioinformatics, Second International Workshop, 2002

2001

Class discovery in gene expression data.

Amir Ben-Dor, Nir Friedman, Zohar Yakhini

Proceedings of the Fifth Annual International Conference on Computational Biology, 2001

2000

Universal DNA Tag Systems: A Combinatorial Design Scheme.

Amir Ben-Dor, Richard M. Karp, Benno Schwikowski, Zohar Yakhini

J. Comput. Biol., 2000

Tissue Classification with Gene Expression Profiles.

Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini

J. Comput. Biol., 2000

1999

Clustering Gene Expression Patterns.

Amir Ben-Dor, Ron Shamir, Zohar Yakhini

J. Comput. Biol., 1999

Clustering gene expression patterns.

Amir Ben-Dor, Zohar Yakhini

Proceedings of the Third Annual International Conference on Research in Computational Molecular Biology, 1999

1996

On the Sample Complexity of Learning Bayesian Networks.

Nir Friedman, Zohar Yakhini

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996