Iftach Nachman

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Nir FriedmanProfessor of Computer Science and Medicine, Hebrew UniversityVerified email at mail.huji.ac.il
Dana Pe'erHoward Hughes Medical Institute / Sloan Kettering InstituteVerified email at mskcc.org
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
maayan pourNYU LangoneVerified email at nyulangone.org
Alexander MeissnerMax Planck Institute for Molecular GeneticsVerified email at molgen.mpg.de
Laurakay BruhnAgilent TechnologiesVerified email at agilent.com
Jean-Paul LelloucheProfessor of Organic Chemistry & Nanotechnology, Bar-Ilan University - Dpt of Chemistry & InstituteVerified email at biu.ac.il
Gal ElidanHebrew University / GoogleVerified email at huji.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
David Andrew TurnerUniversity of LiverpoolVerified email at liv.ac.uk
Jesse VeenvlietResearch Group Leader at MPI-CBGVerified email at mpi-cbg.de
Pierre-François LenneCNRS Research Director, Principal Investigator, Aix-Marseille UniversityVerified email at univ-amu.fr
Susanta Kumar BhuniaSenior Assistant Professor, VIT University, VelloreVerified email at vit.ac.in
Dr. Sukhendu NandiNIPER MohaliVerified email at niper.ac.in
raz jelinekVerified email at bgu.ac.il
Abhishek Sampath KumarHarvard UniversityVerified email at fas.harvard.edu
Helene KretzmerHasso Plattner Institute, University of PotsdamVerified email at hpi.de

Iftach Nachman

Associate Professor, Tel Aviv University

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

embryo-like models gastruloids 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 Proceedings of the fourth annual international conference on Computational …, 2000	4704	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	1110	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	904	2013
Inferring quantitative models of regulatory networks from expression data I Nachman, A Regev, N Friedman ISMB/ECCB (Supplement of Bioinformatics), 248-256, 2004	281	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	279	2010
Dissecting timing variability in yeast meiosis I Nachman, A Regev, S Ramanathan Cell 131 (3), 544-556, 2007	170	2007
Gaussian process networks N Friedman, I Nachman arXiv preprint arXiv:1301.3857, 2013	102	2013
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. G Elidan, I Nachman, N Friedman Journal of Machine Learning Research 8 (8), 2007	55	2007
Event timing at the single-cell level E Yurkovsky, I Nachman Briefings in functional genomics 12 (2), 90-98, 2013	47	2013
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	46	2019
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	40	2012
Sculpting with stem cells: how models of embryo development take shape JV Veenvliet, PF Lenne, DA Turner, I Nachman, V Trivedi Development 148 (24), dev192914, 2021	39	2021
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	33	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	28	2017
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), 31623, 2016	25	2016
Tungsten disulfide-based nanocomposites for photothermal therapy T Levin, H Sade, RBS Binyamini, M Pour, I Nachman, JP Lellouche Beilstein journal of nanotechnology 10 (1), 811-822, 2019	23	2019
Emergence and patterning dynamics of mouse-definitive endoderm M Pour, AS Kumar, N Farag, A Bolondi, H Kretzmer, M Walther, L Wittler, ... Iscience 25 (1), 2022	21	2022
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	20	2016
Expression of Pseudomonas syringae type III effectors in yeast under stress conditions reveals that HopX1 attenuates activation of the high osmolarity glycerol MAP … D Salomon, E Bosis, D Dar, I Nachman, G Sessa Microbiology 158 (11), 2859-2869, 2012	19	2012
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	17	2019

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