High-throughput biotechnologies, such as gene expression microarrays or mass-
spectrometry-based proteomic assays, suffer from frequent missing values due to various …

Outliers may hamper proper classical multivariate analysis, and lead to incorrect
conclusions. To remedy the problem of outliers, robust methods are developed in statistics …

The cluster heat map is an ingenious display that simultaneously reveals row and column
hierarchical cluster structure in a data matrix. It consists of a rectangular tiling, with each tile …

This survey provides a description of algorithms to reorder visual matrices of tabular data
and adjacency matrix of Networks. The goal of this survey is to provide a comprehensive list …

Background The use of clustering methods for the discovery of cancer subtypes has drawn a
great deal of attention in the scientific community. While bioinformaticians have proposed …

Abstract Motivation: In the Affymetrix GeneChip system, preprocessing occurs before one
obtains expression level measurements. Because the number of competing preprocessing …

A prerequisite to dynamic state estimation of a stochastic nonlinear dynamic model of a
power system is its observability analysis. However, due to the model nonlinearity, the …

We investigate the performance of robust estimates of multivariate location under
nonstandard data contamination models such as componentwise outliers (ie, contamination …

We propose a general Principal Orthogonal complEment Thresholding (POET) framework
for large-scale covariance matrix estimation based on the approximate factor model. A set of …

After genomic sequencing, microarray technology has emerged as a widely used platform
for genomic studies in the life sciences. Microarray technology provides a systematic way to …