Model-based distance embedding with applications to chromosomal conformation biology

DOI10.1214/21-AOAS1479zbMath1498.62276OpenAlexW4286484566MaRDI QIDQ2170380

Disheng Mao, Zhengqing Ouyang, Yu-Ping Zhang

Publication date: 5 September 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/21-aoas1479

zbMATH Keywords

dimension reductionEuclidean spacespatial organization3D structure

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Numerical mathematical programming methods (65K05) Newton-type methods (49M15) Protein sequences, DNA sequences (92D20)

Cites Work

• Computing the nearest Euclidean distance matrix with low embedding dimensions
• A cyclic projection algorithm via duality
• A successive projection method
• Solving Euclidean distance matrix completion problems via semidefinite progrmming
• An Algorithm for Restricted Least Squares Regression
• An Alternating Projection Algorithm for Computing the Nearest Euclidean Distance Matrix
• Euclidean distance matrix completion problems
• A Semismooth Newton Method for the Nearest Euclidean Distance Matrix Problem
• Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation
• The elements of statistical learning. Data mining, inference, and prediction

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