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Our aim is to map and quantitatively characterize this complex cellular immune response, to extend our understanding of heritable disease susceptibility, and eventually, to devise biomarkers for diagnosis and personalize therapeutics. To that end, we develop computational methods in statistics, probabilistic modeling, and bioinformatics, and work in a close collaboration with experimental labs to design and perform high-throughput experiments. Our research is stimulated by new technologies, and we employ genome-wide data such as microarrays, nanostring and sequencing, with advanced methods in learning and statistics.
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论文共 67 篇作者统计合作学者相似作者
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Ofir Cohn,Gal Yankovitz,Michal Mandelboim,Naama Peshes-Yaloz, Rachel Brandes,Eran Bacharach,Irit Gat-Viks
biorxiv(2024)
Ofir Cohn,Gal Yankovitz, Michal Mandelboim,Naama Peshes-Yaloz, Rachel Brandes, Eran Bacharach,Irit Gat-Viks
Yuval Menaker,Inge van den Munckhof, Alice Scarpa,Katarzyna Placek, Rachel Brandes-Leibovitz, Yossef Glantzspiegel,Leo A. B. Joosten,Joost H. W. Rutten,Mihai G. Netea,Irit Gat-Viks,Niels P. Riksen
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2023)
James P. Stumpff,Sang Yong Kim, Matthew I. Mcfadden,Andrew Nishida,Roksana Shirazi,Yael Steuerman,Irit Gat-Viks,Adriana Forero,Meera G. Nair,Juliet Morrison
JOURNAL OF HEPATOLOGY (2023): S955-S956
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biorxiv(2022)
Advanced Scienceno. 11 (2022)
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