Iftach Nachman
Iftach Nachman
Assistant professor of biology, Tel Aviv University
Bestätigte E-Mail-Adresse bei tauex.tau.ac.il - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
41942000
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
10222000
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm
N Friedman, I Nachman, D Pe'er
arXiv preprint arXiv:1301.6696, 2013
7932013
Inferring quantitative models of regulatory networks from expression data
I Nachman, A Regev, N Friedman
Bioinformatics 20 (suppl_1), i248-i256, 2004
2602004
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
2422010
Dissecting timing variability in yeast meiosis
I Nachman, A Regev, S Ramanathan
Cell 131 (3), 544-556, 2007
1402007
Gaussian process networks
N Friedman, I Nachman
arXiv preprint arXiv:1301.3857, 2013
702013
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks.
G Elidan, I Nachman, N Friedman
Journal of Machine Learning Research 8 (8), 2007
522007
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
PloS one 7 (9), e44785, 2012
262012
Event timing at the single-cell level
E Yurkovsky, I Nachman
Briefings in functional genomics 12 (2), 90-98, 2013
232013
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
212015
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
192017
" Ideal Parent" structure learning for continuous variable networks
I Nachman, G Elidan, N Friedman
arXiv preprint arXiv:1207.4133, 2012
182012
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
162012
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), 2019
132019
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
112016
Using bayesian networks to analyze expression data
N Friedman, M Linial, I Nachman, D Pe'er
JOURNAL OF COMPUTATIONAL BIOLOGY, 1999
111999
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
102016
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
92019
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
92015
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