Clustering microarray data using model-based doubleK-means-Reference-Cited by-同舟云学术

Clustering microarray data using model-based doubleK-means

Published:2012-09 Issue:9 Volume:39 Page:1853-1869
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Martella Francesca,Vichi Maurizio

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference38 articles.

1. BicAT: a biclustering analysis toolbox

2. Loevinger's measures of rule quality for assessing cluster stability

3. Discovering Local Structure in Gene Expression Data: The Order-Preserving Submatrix Problem

4. Ben-Hur, A., Elisseeff, A. and Guyon, I.A stability based method for discovering structure in clustered data. Pacific Symposium on Biocomputing. Lihue, Hawaii. Vol. 7, pp.6–17.

5. Molecular classification of cutaneous malignant melanoma by gene expression profiling

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On clustering of periodically correlated processes based on Hilbert-Schmidt inner product of Fourier transforms;Communications in Statistics - Simulation and Computation;2023-01-24

2. Co-Clustering for Object by Variable Data Matrices;Advanced Studies in Behaviormetrics and Data Science;2020

3. DK-means: a deterministic K-means clustering algorithm for gene expression analysis;Pattern Analysis and Applications;2017-12-28

4. Statistical Analysis of DNA Microarray Data;Wiley StatsRef: Statistics Reference Online;2015-03-31

5. Large networks, perturbation of block structures;Spectral Clustering and Biclustering;2013-07-04