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Ilan Wapinski
Ilan Wapinski
Verified email at sanofi.com
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Cited by
Cited by
Year
Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium
LJ Ma, HC Van Der Does, KA Borkovich, JJ Coleman, MJ Daboussi, ...
Nature 464 (7287), 367-373, 2010
17732010
Natural history and evolutionary principles of gene duplication in fungi
I Wapinski, A Pfeffer, N Friedman, A Regev
Nature 449 (7158), 54-61, 2007
7232007
Proto-genes and de novo gene birth
AR Carvunis, T Rolland, I Wapinski, MA Calderwood, MA Yildirim, ...
Nature 487 (7407), 370-374, 2012
6782012
Construction and analysis of two genome-scale deletion libraries for Bacillus subtilis
BM Koo, G Kritikos, JD Farelli, H Todor, K Tong, H Kimsey, I Wapinski, ...
Cell systems 4 (3), 291-305. e7, 2017
5792017
Comparative functional genomics of the fission yeasts
N Rhind, Z Chen, M Yassour, DA Thompson, BJ Haas, N Habib, ...
Science 332 (6032), 930-936, 2011
5502011
Combination therapies including cilofexor and firsocostat for bridging fibrosis and cirrhosis attributable to NASH
R Loomba, M Noureddin, KV Kowdley, A Kohli, A Sheikh, G Neff, ...
Hepatology 73 (2), 625-643, 2021
2342021
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
JA Diao, JK Wang, WF Chui, V Mountain, SC Gullapally, R Srinivasan, ...
Nature communications 12 (1), 1613, 2021
1972021
Automatic genome-wide reconstruction of phylogenetic gene trees
I Wapinski, A Pfeffer, N Friedman, A Regev
Bioinformatics 23 (13), i549-i558, 2007
1742007
Support vector machine classification on the web
P Pavlidis, I Wapinski, WS Noble
Bioinformatics 20 (4), 586-587, 2004
1742004
A machine learning approach enables quantitative measurement of liver histology and disease monitoring in NASH
A Taylor‐Weiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ...
Hepatology 74 (1), 133-147, 2021
1672021
Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis
AM McGuire, B Weiner, ST Park, I Wapinski, S Raman, G Dolganov, ...
BMC genomics 13, 1-27, 2012
1142012
Stress-related genomic responses during the course of heat acclimation and its association with ischemic-reperfusion cross-tolerance
M Horowitz, L Eli-Berchoer, I Wapinski, N Friedman, E Kodesh
Journal of applied physiology 97 (4), 1496-1507, 2004
1132004
Evolutionary principles of modular gene regulation in yeasts
DA Thompson, S Roy, M Chan, MP Styczynsky, J Pfiffner, C French, ...
Elife 2, e00603, 2013
952013
Gene duplication and the evolution of ribosomal protein gene regulation in yeast
I Wapinski, J Pfiffner, C French, A Socha, DA Thompson, A Regev
Proceedings of the National Academy of Sciences 107 (12), 5505-5510, 2010
832010
Physiological and molecular evidence of heat acclimation memory: a lesson from thermal responses and ischemic cross-tolerance in the heart
A Tetievsky, O Cohen, L Eli-Berchoer, G Gerstenblith, MD Stern, ...
Physiological genomics 34 (1), 78-87, 2008
742008
Arboretum: reconstruction and analysis of the evolutionary history of condition-specific transcriptional modules
S Roy, I Wapinski, J Pfiffner, C French, A Socha, J Konieczka, N Habib, ...
Genome Research 23 (6), 1039-1050, 2013
632013
A functional selection model explains evolutionary robustness despite plasticity in regulatory networks
N Habib, I Wapinski, H Margalit, A Regev, N Friedman
Molecular systems biology 8 (1), 619, 2012
612012
A machine learning approach to liver histological evaluation predicts clinically significant portal hypertension in NASH cirrhosis
J Bosch, C Chung, OM Carrasco‐Zevallos, SA Harrison, MF Abdelmalek, ...
Hepatology 74 (6), 3146-3160, 2021
452021
Processes and host cells for genome, pathway, and biomolecular engineering
JH Konieczka, JE Spoonamore, IN Wapinski, FJ Isaacs, GB Foley
422015
Revisiting the Saccharomyces cerevisiae predicted ORFeome
QR Li, AR Carvunis, H Yu, JDJ Han, Q Zhong, N Simonis, S Tam, T Hao, ...
Genome research 18 (8), 1294-1303, 2008
392008
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