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A Multi-dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome
Xihao Li, Godwin Yung, View ORCID ProfileHufeng Zhou, View ORCID ProfileRyan Sun, View ORCID ProfileZilin Li, Yaowu Liu, View ORCID ProfileIuliana Ionita-Laza, View ORCID ProfileXihong Lin
doi: https://doi.org/10.1101/2021.01.06.425527
Xihao Li
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
Godwin Yung
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
2Genentech/Roche, South San Francisco, CA 94080, USA
Hufeng Zhou
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
Ryan Sun
3Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
Zilin Li
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
Yaowu Liu
4School of Statistics, Southwestern University of Finance and Economics, Chengdu, Sichuan, China
Iuliana Ionita-Laza
5Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032, USA
Xihong Lin
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
6Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
7Department of Statistics, Harvard University, Cambridge, MA, 02138, USA
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Posted January 08, 2021.
A Multi-dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome
Xihao Li, Godwin Yung, Hufeng Zhou, Ryan Sun, Zilin Li, Yaowu Liu, Iuliana Ionita-Laza, Xihong Lin
bioRxiv 2021.01.06.425527; doi: https://doi.org/10.1101/2021.01.06.425527
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