I. Gat-Viks

发表

Linking traits based on their shared molecular mechanisms

Y. Oren, A. Nachshon, Amit Frishberg, 2015, eLife.

A Physical and Regulatory Map of Host-Influenza Interactions Reveals Pathways in H1N1 Infection

N. Hacohen, A. Regev, D. Hill, 2009, Cell.

Dissection of Influenza Infection In Vivo by Single-Cell RNA Sequencing

I. Amit, Eyal David, Merav Cohen, 2018, Cell Systems.

Elucidating regulatory mechanisms downstream of a signaling pathway using informative experiments

M. Vingron, J. Tiuryn, I. Gat-Viks, 2009, Molecular systems biology.

SOX2 Is an Amplified Lineage Survival Oncogene in Lung and Esophageal Squamous Cell Carcinomas

A. Regev, P. Tamayo, W. Hahn, 2009, Nature Genetics.

Computational analysis of molecular networks: modeling and reconstruction

Irit Gat-Viks, I. Gat-Viks, Irit Gat-Viks, 2007 .

A global view of the selection forces in the evolution of yeast cis-regulation.

R. Shamir, A. Tanay, I. Gat-Viks, 2004, Genome research.

Refinement and expansion of signaling pathways: the osmotic response network in yeast.

R. Shamir, I. Gat-Viks, Irit Gat-Viks, 2007, Genome research.

MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data

Ron Shamir, Irit Gat-Viks, Igor Ulitsky, 2008, Genome Biology.

Digital cell quantification identifies global immune cell dynamics during influenza infection

I. Amit, Hadas Keren-Shaul, Eyal David, 2014, Molecular systems biology.

Linking Cell Dynamics With Gene Coexpression Networks to Characterize Key Events in Chronic Virus Infections

S. Heath, G. Bocharov, A. Meyerhans, 2019, Front. Immunol..

Cell composition analysis of bulk genomics using single cell data

Eran Bacharach, Amit Frishberg, Irit Gat-Viks, 2019, Nature Methods.

Predicting Phenotypic Diversity from Molecular and Genetic Data

I. Gat-Viks, E. Bacharach, N. Peshes-Yaloz, 2019, Genetics.

A probabilistic model for the evolution of promoters

R. Elkon, Michal Ziv-Ukelson, Chaim Linhart, 2007 .

Understanding Gene Sequence Variation in the Context of Transcription Regulation in Yeast

R. Shamir, M. Kupiec, I. Gat-Viks, 2010, PLoS genetics.

POEM: Identifying Joint Additive Effects on Regulatory Circuits

A. Nachshon, I. Gat-Viks, A. Brodt, 2016, Front. Genet..

Shamir response network in yeast Refinement and expansion of signaling pathways : The osmotic data

R. Shamir, I. Gat-Viks, 2007 .

Pleural macrophages promote recovery from influenza virus infection

I. Gat-Viks, Yael Steuerman, Meera G. Nair, 2022 .

Modularity, evolution and regulation in bionetworks

Ron Shamir, Amos Tanay, Aviv Regev, 2005 .

Anemia measurements to distinguish between viral and bacterial infections in the emergency department

I. Shapira, S. Berliner, D. Zeltser, 2019, European Journal of Clinical Microbiology & Infectious Diseases.

The host transcriptional response to superinfection by influenza virus and streptococcus pneumonia

I. Gat-Viks, E. Bacharach, M. Mandelboim, 2022, bioRxiv.

Evidence for Gene-Specific Rather Than Transcription Rate–Dependent Histone H3 Exchange in Yeast Coding Regions

Martin Vingron, Irit Gat-Viks, M. Vingron, 2009, PLoS Comput. Biol..

Mutations causing medullary cystic kidney disease type 1 (MCKD1) lie in a large VNTR in MUC1 missed by massively parallel sequencing

Eric S. Lander, Aviv Regev, Irit Gat-Viks, 2013, Nature Genetics.

Deciphering molecular circuits from genetic variation underlying transcriptional responsiveness to stimuli

Aviv Regev, Irit Gat-Viks, Nir Hacohen, 2013, Nature Biotechnology.

Inferring cellular heterogeneity of associations from single cell genomics

Maya Levy, Amit Frishberg, Irit Gat-Viks, 2020, Bioinform..

Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection

Paul J. Hoover, N. Hacohen, J. Doench, 2020, Nature Communications.

Analysing human neural stem cell ontogeny by consecutive isolation of Notch active neural progenitors

Gideon Rechavi, Irit Gat-Viks, Michael J. Ziller, 2015, Nature Communications.

Scoring clustering solutions by their biological relevance

Ron Shamir, Irit Gat-Viks, Roded Sharan, 2003, Bioinform..

A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks

Ron Shamir, Amos Tanay, Irit Gat-Viks, 2006, J. Comput. Biol..

The Factor Graph Network Model for Biological Systems

Ron Shamir, Amos Tanay, Irit Gat-Viks, 2005, RECOMB.

Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data

Jerzy Tiuryn, Martin Vingron, Przemyslaw Biecek, 2011, BMC Bioinformatics.

Distinct gene programs underpinning ‘disease tolerance’ and ‘resistance’ in influenza virus infection

I. Amit, N. Hacohen, M. Netea, 2022, bioRxiv.

Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection

Paul J. Hoover, John G Doench, N. Hacohen, 2020, Nature Communications.

Systematic Discovery of TLR Signaling Components Delineates Viral-Sensing Circuits

Jacob T. Robinson, Aviv Regev, Irit Gat-Viks, 2011, Cell.

ImmQuant: a user-friendly tool for inferring immune cell-type composition from gene-expression data

Amit Frishberg, Irit Gat-Viks, Avital Brodt, 2016, Bioinform..

Computational Methods for Immune Cell-Type Subsets

Irit Gat-Viks, Yael Steuerman, I. Gat-Viks, 2016 .

Extracellular Matrix Proteolysis by MT1-MMP Contributes to Influenza-Related Tissue Damage and Mortality.

I. Amit, Diego Jaitin, Hadas Keren-Shaul, 2016, Cell host & microbe.

A Faster Algorithm for Simultaneous Alignment and Folding of RNA

Ron Shamir, Michal Ziv-Ukelson, Irit Gat-Viks, 2010, J. Comput. Biol..

A Faster Algorithm for RNA Co-folding

Ron Shamir, Michal Ziv-Ukelson, Irit Gat-Viks, 2008, WABI.

Significant common environmental effects on leukocyte subpopulations

I. Gat-Viks, M. Botzman, Maya Botzman, 2018, PloS one.

Leveraging the cell lineage to predict cell-type specificity of regulatory variation from bulk genomics.

F. Iraqi, I. Gat-Viks, E. Bacharach, 2021, Genetics.

Exploiting Gene-Expression Deconvolution to Probe the Genetics of the Immune System

Irit Gat-Viks, Yael Steuerman, I. Gat-Viks, 2016, PLoS Comput. Biol..

EZH2 promotes a bi-lineage identity in basal-like breast cancer cells

A. Regev, T. Peretz, I. Waldhorn, 2012, Oncogene.

EZH 2 promotes a bi-lineage identity in basal-like breast cancer cells

I. Waldhorn, I. Gat-Viks, B. Maly, 2012 .

Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains

Juliane C. Dohm, R. Shamir, R. Mott, 2016, Front. Genet..

Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice

R. Mott, F. Iraqi, I. Gat-Viks, 2018, Animal models and experimental medicine.

Integration of Murine and Human Studies for Mapping Periodontitis Susceptibility

A. Uitterlinden, R. Mott, W. Lieb, 2018, Journal of dental research.

Mapping liver fat female-dependent quantitative trait loci in collaborative cross mice

R. Mott, F. Iraqi, I. Gat-Viks, 2016, Mammalian Genome.

Dissecting Dynamic Genetic Variation That Controls Temporal Gene Response in Yeast

Irit Gat-Viks, Avital Brodt, Maya Botzman, 2014, PLoS Comput. Biol..

Reconstructing the Molecular Function of Genetic Variation in Regulatory Networks

Chun Jimmie Ye, Roni Wilentzik, I. Gat-Viks, 2017, Genetics.

Proteomics‐level analysis of myelin formation and regeneration in a mouse model for Vanishing White Matter disease

O. Elroy-Stein, T. Geiger, I. Gat-Viks, 2015, Journal of neurochemistry.

Personalized Hydrogels for Engineering Diverse Fully Autologous Tissue Implants

Assaf Shapira, Nadav Noor, Tal Dvir, 2018, Advanced materials.

Elucidating Influenza Inhibition Pathways via Network Reconstruction

Irit Gat-Viks, Arnon Mazza, Roded Sharan, 2014, J. Comput. Biol..

Regenerating the Injured Spinal Cord at the Chronic Phase by Engineered iPSCs‐Derived 3D Neuronal Networks

Y. Assaf, T. Dvir, I. Gat-Viks, 2022, Advanced science.

Cell composition analysis of bulk genomics using single cell data

I. Amit, F. Iraqi, Amit Frishberg, 2019, Nature Methods.

An integrative model of cardiometabolic traits identifies two types of metabolic syndrome

L. Joosten, M. Netea, R. ter Horst, 2021, eLife.

Pleural macrophages translocate to the lung during infection to promote improved influenza outcomes

I. Gat-Viks, Yael Steuerman, Adriana Forero, 2022, bioRxiv.

Predicting brain metastasis in early stage non-small cell lung cancer patients by gene expression profiling

M. Perelman, I. Barshack, S. Izraeli, 2020, Translational lung cancer research.

Predicting Phenotypic Diversity from Molecular and Genetic Data.

I. Gat-Viks, E. Bacharach, N. Peshes-Yaloz, 2019, Genetics.

Modeling and Analysis of Heterogeneous Regulation in Biological Networks

Ron Shamir, Amos Tanay, Irit Gat-Viks, 2004, Regulatory Genomics.

A minimum-labeling approach for reconstructing protein networks across multiple conditions

Irit Gat-Viks, Arnon Mazza, Roded Sharan, 2013, Algorithms for Molecular Biology.

A statistical framework for revealing signaling pathways perturbed by DNA variants

Irit Gat-Viks, Roni Wilentzik, Roni Wilentzik, 2015, Nucleic acids research.

Exploring Neural Networks and Related Visualization Techniques in Gene Expression Data

Irit Gat-Viks, Roni Wilentzik Müller, I. Gat-Viks, 2020, Frontiers in Genetics.

Chain functions and scoring functions in genetic networks

Ron Shamir, Irit Gat-Viks, R. Shamir, 2003, ISMB.

CoD: inferring immune-cell quantities related to disease states

Amit Frishberg, Irit Gat-Viks, Yael Steuerman, 2015, Bioinform..

Mapping liver fat female-dependent quantitative trait loci in collaborative cross mice

R. Mott, F. Iraqi, I. Gat-Viks, 2016, Mammalian Genome.

Elucidating regulatory mechanisms downstream of a signaling pathway using informative experiments

I. Gat-Viks, Martin Vingron, Ewa Szczurek, 2009, Molecular systems biology.