Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data

DOI10.1080/01621459.2020.1730853zbMath1457.62358OpenAlexW3008450160MaRDI QIDQ5857118

Hongyu Zhao, Seyoung Park, Hao Xu

Publication date: 30 March 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2020.1730853

zbMATH Keywords

Gaussian kernelspectral clusteringmulti-omics data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15)

Related Items

Penalized kernel quantile regression for varying coefficient models

Uses Software

• MVDA
• GISTIC2.0

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Hanson-Wright inequality and sub-Gaussian concentration
• A dual algorithm for the solution of nonlinear variational problems via finite element approximation
• Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
• Sparse principal component analysis with missing observations
• A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
• Convex Sparse Spectral Clustering: Single-View to Multi-View
• 10.1162/153244303321897735
• Biclustering with heterogeneous variance