Iftach Nachman

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Nir FriedmanProfessor of Computer Science and Life Sciences, Hebrew UniversityVerified email at mail.huji.ac.il
Michal LinialThe Hebrew University of JerusalemVerified email at cc.huji.ac.il
Zohar YakhiniFaculty Member, Computer Science at IDC HerzeliyaVerified email at idc.ac.il
Amir Ben-DorSenior Scientist, Agilent LaboratoriesVerified email at agilent.com
Alexander MeissnerMax Planck Institute for Molecular Genetics/ Harvard UniversityVerified email at molgen.mpg.de
maayan pourNYU LangoneVerified email at nyulangone.org
Gal ElidanHebrew University / GoogleVerified email at huji.ac.il
Jean-Paul LelloucheProfessor of Organic Chemistry & Nanotechnology, Bar-Ilan University - Dpt of Chemistry & InstituteVerified email at biu.ac.il
Dor SalomonTel Aviv UniversityVerified email at mail.tau.ac.il
Daniel DarPostdoc @ CaltechVerified email at caltech.edu
Guido SessaProfessor of Plant Pathology, School of Plant Sciences and Food Security,Tel Aviv UniversityVerified email at tauex.tau.ac.il
Sirisha AchantaThomas Jefferson UniversityVerified email at jefferson.edu
Rajanikanth VadigepalliVice Chair of Research and Professor of Pathology, Anatomy and Cell Biology, Thomas JeffersonVerified email at jefferson.edu
Shaked SlovinPhD student - Telethon Institute of Genetics and Medicine (TIGEM)Verified email at tigem.it
Susanta Kumar BhuniaAssistant Professor, VIT University, VelloreVerified email at vit.ac.in
Sukhendu NandiIIT(ISM) DhanbadVerified email at iitism.ac.in
raz jelinekVerified email at bgu.ac.il
Eran BosisDepartment of Biotechnology Engineering, ORT Braude CollegeVerified email at braude.ac.il
Shai FuchsThe Hospital for Sick ChildrenVerified email at sickkids.ca
Abhishek Sampath KumarMax Planck Institute for Molecular GeneticsVerified email at molgen.mpg.de

Iftach Nachman

Assistant professor of biology, Tel Aviv University

Verified email at tauex.tau.ac.il - Homepage

embryo-like models embryoid bodies cell decisions live cell imaging


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Using Bayesian networks to analyze expression data N Friedman, M Linial, I Nachman, D Pe'er Journal of computational biology 7 (3-4), 601-620, 2000	4288	2000
Tissue classification with gene expression profiles A Ben-Dor, L Bruhn, N Friedman, I Nachman, M Schummer, Z Yakhini Proceedings of the fourth annual international conference on Computational …, 2000	1031	2000
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm N Friedman, I Nachman, D Pe'er arXiv preprint arXiv:1301.6696, 2013	815	2013
Inferring quantitative models of regulatory networks from expression data I Nachman, A Regev, N Friedman Bioinformatics 20 (suppl_1), i248-i256, 2004	264	2004
Dynamic single-cell imaging of direct reprogramming reveals an early specifying event ZD Smith, I Nachman, A Regev, A Meissner Nature biotechnology 28 (5), 521-526, 2010	250	2010
Dissecting timing variability in yeast meiosis I Nachman, A Regev, S Ramanathan Cell 131 (3), 544-556, 2007	146	2007
Gaussian process networks N Friedman, I Nachman arXiv preprint arXiv:1301.3857, 2013	71	2013
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	52	2007
Event timing at the single-cell level E Yurkovsky, I Nachman Briefings in functional genomics 12 (2), 90-98, 2013	27	2013
Aggregation of polyQ proteins is increased upon yeast aging and affected by Sir2 and Hsf1: novel quantitative biochemical and microscopic assays A Cohen, L Ross, I Nachman, S Bar-Nun Public Library of Science 7 (9), e44785, 2012	26	2012
Prediction and control of symmetry breaking in embryoid bodies by environment and signal integration N Sagy, S Slovin, M Allalouf, M Pour, G Savyon, J Boxman, I Nachman Development 146 (20), dev181917, 2019	22	2019
Epigenetic predisposition to reprogramming fates in somatic cells M Pour, I Pilzer, R Rosner, ZD Smith, A Meissner, I Nachman EMBO reports 16 (3), 370-378, 2015	21	2015
Bifunctional Carbon‐Dot‐WS₂ Nanorods for Photothermal Therapy and Cell Imaging S Nandi, SK Bhunia, L Zeiri, M Pour, I Nachman, D Raichman, ... Chemistry–A European Journal 23 (4), 963-969, 2017	19	2017
" Ideal Parent" structure learning for continuous variable networks I Nachman, G Elidan, N Friedman arXiv preprint arXiv:1207.4133, 2012	18	2012
Expression of Pseudomonas syringae type III effectors in yeast under stress conditions reveals that HopX1 attenuates activation of the high osmolarity glycerol MAP kinase pathway D Salomon, E Bosis, D Dar, I Nachman, G Sessa Microbiology 158 (11), 2859-2869, 2012	16	2012
Integrated live imaging and molecular profiling of embryoid bodies reveals a synchronized progression of early differentiation J Boxman, N Sagy, S Achanta, R Vadigepalli, I Nachman Scientific reports 6 (1), 1-12, 2016	13	2016
Using bayesian networks to analyze expression data N Friedman, M Linial, I Nachman, D Pe'er JOURNAL OF COMPUTATIONAL BIOLOGY, 1999	12	1999
Control of relative timing and stoichiometry by a master regulator Y Goldschmidt, E Yurkovsky, A Reif, R Rosner, A Akiva, I Nachman PLoS One 10 (5), e0127339, 2015	11	2015
Evolthon: A community endeavor to evolve lab evolution S Kaminski Strauss, D Schirman, G Jona, AN Brooks, AM Kunjapur, ... PLoS biology 17 (3), e3000182, 2019	10	2019
Water-Transfer Slows Aging in Saccharomyces cerevisiae A Cohen, E Weindling, E Rabinovich, I Nachman, S Fuchs, S Chuartzman, ... Plos one 11 (2), e0148650, 2016	9	2016

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