Cluster analysis for gene expression data: a survey
DNA microarray technology has now made it possible to simultaneously monitor the
expression levels of thousands of genes during important biological processes and across …
expression levels of thousands of genes during important biological processes and across …
Semi-supervised methods to predict patient survival from gene expression data
An important goal of DNA microarray research is to develop tools to diagnose cancer more
accurately based on the genetic profile of a tumor. There are several existing techniques in …
accurately based on the genetic profile of a tumor. There are several existing techniques in …
Discovering local structure in gene expression data: the order-preserving submatrix problem
This paper concerns the discovery of patterns in gene expression matrices, in which each
element gives the expression level of a given gene in a given experiment. Most existing …
element gives the expression level of a given gene in a given experiment. Most existing …
[BUCH][B] Design and analysis of DNA microarray investigations
DNA microarrays are an important technology for studying gene expression. With a single
hybridization, the level of expression of thousands of genes, or even an entire genome, can …
hybridization, the level of expression of thousands of genes, or even an entire genome, can …
Enhanced biclustering on expression data
Microarrays are one of the latest breakthroughs in experimental molecular biology, which
provide a powerful tool by which the expression patterns of thousands of genes can be …
provide a powerful tool by which the expression patterns of thousands of genes can be …
[PDF][PDF] Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach.
The problem of selecting a subset of relevant features in a potentially overwhelming quantity
of data is classic and found in many branches of science. Examples in computer vision, text …
of data is classic and found in many branches of science. Examples in computer vision, text …
[PDF][PDF] Biclustering microarray data by Gibbs sampling
Motivation: Gibbs sampling has become a method of choice for the discovery of noisy
patterns, known as motifs, in DNA and protein sequences. Because handling noise in …
patterns, known as motifs, in DNA and protein sequences. Because handling noise in …
Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data
Motivation: Recent technological advances such as cDNA microarray technology have
made it possible to simultaneously interrogate thousands of genes in a biological specimen …
made it possible to simultaneously interrogate thousands of genes in a biological specimen …
Novel unsupervised feature filtering of biological data
Motivation: Many methods have been developed for selecting small informative feature
subsets in large noisy data. However, unsupervised methods are scarce. Examples are …
subsets in large noisy data. However, unsupervised methods are scarce. Examples are …
Novel rank-based statistical methods reveal microRNAs with differential expression in multiple cancer types
Background microRNAs (miRNAs) regulate target genes at the post-transcriptional level and
play important roles in cancer pathogenesis and development. Variation amongst …
play important roles in cancer pathogenesis and development. Variation amongst …