Biclustering with heterogeneous variance

DOI10.1073/pnas.1304376110zbMath1292.92002OpenAlexW2026622206WikidataQ37049490 ScholiaQ37049490MaRDI QIDQ5171014

P. F. Sullivan, Michael R. Kosorok, Guanhua Chen

Publication date: 25 July 2014

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.1304376110

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) General biostatistics (92B15) Medical applications (general) (92C50)

Related Items (4)

A communication-efficient and privacy-aware distributed algorithm for sparse PCA ⋮ Infinite ensemble clustering ⋮ Complexity of modification problems for reciprocal best match graphs ⋮ Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data

Cites Work

• Unnamed Item
• Improved biclustering of microarray data demonstrated through systematic performance tests
• Bi-cross-validation of the SVD and the nonnegative matrix factorization
• Sparse principal component analysis via regularized low rank matrix approximation
• Finding large average submatrices in high dimensional data
• Biclustering in data mining
• Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data
• Biclustering via Sparse Singular Value Decomposition
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Evolutionary Bioinformatics
• On Consistency and Sparsity for Principal Components Analysis in High Dimensions
• A Framework for Feature Selection in Clustering

This page was built for publication: Biclustering with heterogeneous variance