Year |
Citation |
Score |
2019 |
Sagy N, Slovin S, Allalouf M, Pour M, Savyon G, Boxman J, Nachman I. Prediction and control of symmetry breaking in embryoid bodies by environment and signal integration. Development (Cambridge, England). PMID 31575644 DOI: 10.1242/Dev.181917 |
0.315 |
|
2019 |
Thakurela S, Sindhu C, Yurkovsky E, Riemenschneider C, Smith ZD, Nachman I, Meissner A. Differential regulation of OCT4 targets facilitates reacquisition of pluripotency. Nature Communications. 10: 4444. PMID 31570708 DOI: 10.1038/S41467-019-11741-5 |
0.375 |
|
2016 |
Boxman J, Sagy N, Achanta S, Vadigepalli R, Nachman I. Integrated live imaging and molecular profiling of embryoid bodies reveals a synchronized progression of early differentiation. Scientific Reports. 6: 31623. PMID 27530599 DOI: 10.1038/Srep31623 |
0.388 |
|
2015 |
Goldschmidt Y, Yurkovsky E, Reif A, Rosner R, Akiva A, Nachman I. Control of relative timing and stoichiometry by a master regulator. Plos One. 10: e0127339. PMID 26000862 DOI: 10.1371/Journal.Pone.0127339 |
0.359 |
|
2015 |
Pour M, Pilzer I, Rosner R, Smith ZD, Meissner A, Nachman I. Epigenetic predisposition to reprogramming fates in somatic cells. Embo Reports. 16: 370-8. PMID 25600117 DOI: 10.15252/Embr.201439264 |
0.38 |
|
2013 |
Yurkovsky E, Nachman I. Event timing at the single-cell level. Briefings in Functional Genomics. 12: 90-8. PMID 23196852 DOI: 10.1093/Bfgp/Els057 |
0.316 |
|
2010 |
Smith ZD, Nachman I, Regev A, Meissner A. Dynamic single-cell imaging of direct reprogramming reveals an early specifying event. Nature Biotechnology. 28: 521-6. PMID 20436460 DOI: 10.1038/Nbt.1632 |
0.401 |
|
2008 |
Nachman I, Ramanathan S. HIV-1 positive feedback and lytic fate. Nature Genetics. 40: 382-3. PMID 18368125 DOI: 10.1038/Ng0408-382 |
0.43 |
|
2007 |
Nachman I, Regev A, Ramanathan S. Dissecting timing variability in yeast meiosis. Cell. 131: 544-56. PMID 17981121 DOI: 10.1016/J.Cell.2007.09.044 |
0.491 |
|
2000 |
Friedman N, Linial M, Nachman I, Pe'er D. Using Bayesian networks to analyze expression data Journal of Computational Biology. 7: 601-620. PMID 11108481 DOI: 10.1089/106652700750050961 |
0.312 |
|
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