Summary: PermutMatrix is a work space designed to graphically explore gene expression data. It relies on the graphical approach introduced by Eisen and also offers several methods for the optimal reorganization of rows and columns of a numerical dataset
<p>(A) Bicluster containing genes having expression values correlated across the samples. (B) Biclus...
For each tissue, the number of day-night genes from the real data (GTEx, circle) or the median numbe...
gene expression patterns, clustering, random graphs With the advance of hybridization array technolo...
<p>(A) The top panel shows the original data. The genotype matrix contains information about the gen...
This work introduces a new algorithm for “gene ordering”. Given a matrix of gene expression data val...
Analysis of microarray data with several treatments is an important problem in gene expression studi...
An important aspect of cancer research is the development of better tools to understand underlying c...
Abstract- In order to help understand how the genes are affected by different disease conditions in ...
Gene Expression Programming is an evolutionary algorithm that mimics biological evolution to solve a...
<p>Clustering and subspace clustering of a gene expression matrix: (A) a gene cluster must contain a...
Microarray experiments are employed to simultaneously measure the expression level of thousands of g...
In this paper, we study how to present gene expression data to display similarities by trying to fin...
Code to accompany the paper "Optimized Permutation Testing for Information Theoretic Measures of Mul...
Biclustering has emerged as a powerful algorithmic tool for analyzing measurements of gene expressio...
Individuals show different cell classes when they are in the different stages of a disease, have dif...
<p>(A) Bicluster containing genes having expression values correlated across the samples. (B) Biclus...
For each tissue, the number of day-night genes from the real data (GTEx, circle) or the median numbe...
gene expression patterns, clustering, random graphs With the advance of hybridization array technolo...
<p>(A) The top panel shows the original data. The genotype matrix contains information about the gen...
This work introduces a new algorithm for “gene ordering”. Given a matrix of gene expression data val...
Analysis of microarray data with several treatments is an important problem in gene expression studi...
An important aspect of cancer research is the development of better tools to understand underlying c...
Abstract- In order to help understand how the genes are affected by different disease conditions in ...
Gene Expression Programming is an evolutionary algorithm that mimics biological evolution to solve a...
<p>Clustering and subspace clustering of a gene expression matrix: (A) a gene cluster must contain a...
Microarray experiments are employed to simultaneously measure the expression level of thousands of g...
In this paper, we study how to present gene expression data to display similarities by trying to fin...
Code to accompany the paper "Optimized Permutation Testing for Information Theoretic Measures of Mul...
Biclustering has emerged as a powerful algorithmic tool for analyzing measurements of gene expressio...
Individuals show different cell classes when they are in the different stages of a disease, have dif...
<p>(A) Bicluster containing genes having expression values correlated across the samples. (B) Biclus...
For each tissue, the number of day-night genes from the real data (GTEx, circle) or the median numbe...
gene expression patterns, clustering, random graphs With the advance of hybridization array technolo...
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