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Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissection
View ORCID ProfileCarles B. Adsera, View ORCID ProfileYongjin P. Park, Wouter Meuleman, Manolis Kellis
doi: https://doi.org/10.1101/810291
Carles B. Adsera
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, Cambridge, MA, USA
3Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA
Yongjin P. Park
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, Cambridge, MA, USA
Wouter Meuleman
4Altius Institute for Biomedical Sciences, United States
Manolis Kellis
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Posted October 19, 2019.
Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissection
Carles B. Adsera, Yongjin P. Park, Wouter Meuleman, Manolis Kellis
bioRxiv 810291; doi: https://doi.org/10.1101/810291
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