Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry
Name
21m1390372.pdf
Description
Published version
Size
1.39 MB
Format
Adobe PDF
Checksum (MD5)
619088772f0fd7fdefb39443992fc54f
Author(s)
Belyaeva, Anastasiya
Kubjas, Kaie
Sun, Lawrence J
Uhler, Caroline
Date Issued
2022
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
MIT 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
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1137/21M1390372
