Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry

Author(s)
Belyaeva, Anastasiya; Kubjas, Kaie; Sun, Lawrence J; Uhler, Caroline
Thumbnail
DownloadPublished version (1.386Mb)
Publisher Policy
Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Date issued
2022
URI
https://hdl.handle.net/1721.1/143918
Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Journal
SIAM Journal on Mathematics of Data Science
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Citation
Belyaeva, Anastasiya, Kubjas, Kaie, Sun, Lawrence J and Uhler, Caroline. 2022. "Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry." SIAM Journal on Mathematics of Data Science, 4 (1).
Version: Final published version
Collections