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
42382000
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
10292000
Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm
N Friedman, I Nachman, D Pe'er
arXiv preprint arXiv:1301.6696, 2013
8022013
Inferring quantitative models of regulatory networks from expression data
I Nachman, A Regev, N Friedman
Bioinformatics 20 (suppl_1), i248-i256, 2004
2612004
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
2482010
Dissecting timing variability in yeast meiosis
I Nachman, A Regev, S Ramanathan
Cell 131 (3), 544-556, 2007
1422007
Gaussian process networks
N Friedman, I Nachman
arXiv preprint arXiv:1301.3857, 2013
712013
" Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks.
G Elidan, I Nachman, N Friedman
Journal of Machine Learning Research 8 (8), 2007
532007
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
252013
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
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
162019
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
Using bayesian networks to analyze expression data
N Friedman, M Linial, I Nachman, D Pe'er
JOURNAL OF COMPUTATIONAL BIOLOGY, 1999
121999
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
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
102015
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
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
92016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20