Iftach Nachman
Iftach Nachman
Associate Professor, Tel Aviv University
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Citado por
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
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
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm
N Friedman, I Nachman, D Pe'er
arXiv preprint arXiv:1301.6696, 2013
Inferring quantitative models of regulatory networks from expression data
I Nachman, A Regev, N Friedman
ISMB/ECCB (Supplement of Bioinformatics), 248-256, 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
Dissecting timing variability in yeast meiosis
I Nachman, A Regev, S Ramanathan
Cell 131 (3), 544-556, 2007
Gaussian process networks
N Friedman, I Nachman
arXiv preprint arXiv:1301.3857, 2013
Using bayesian networks to analyze expression data
D Pe’er, I Nachman, M Linial, N Friedman
Journal of computational biology 7, 601-620, 2000
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks.
G Elidan, I Nachman, N Friedman
Journal of Machine Learning Research 8 (8), 2007
Event timing at the single-cell level
E Yurkovsky, I Nachman
Briefings in functional genomics 12 (2), 90-98, 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
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
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
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
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
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
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
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
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
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
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Artículos 1–20