Sentence examples for genes and samples from inspiring English sources

Two of these matrices contain the individual contributions of respectively genes and samples to a particular module.

Related to these methods are biclustering methods, which detect groups of genes, and samples, which show some local co-expression only within the bicluster.

Biclustering simultaneously clusters both genes and samples to arrive at the identification of genes with similar expression profiles in a subset of the samples.

We offer support for the idea that more complex patterns can be identified in the data if genes and samples are considered simultaneously.

Next-generation sequencing (NGS) technologies provide useful tools for single-nucleotide and copy number variation (CNV) identification in many genes and samples simultaneously.

A set of two-way quality measures is proposed, based on one-way measures commonly used in information retrieval, to evaluate the quality of a retrieved bicluster with respect to a target bicluster in terms of both genes and samples.

Hierarchical cluster analysis using Euclidean distance was performed to cluster genes and samples for heatmap.

For discriminant analysis of overall variation in samples/genes, median centering and normalization of the genes and samples were applied to the entire dataset.

Hierarchical clustering of genes and samples was done using heatmap.2 procedure (package gplots, version 2.6.0), correlation distance with centroid linkage and visualized using TreeView-ver.1.60 software.

In the CA plot, the microarray data for genes and samples are projected onto a two-dimensional plane defined by the first and second principal components.

The clustering was done with Spearman correlation as a similarity measure and average linkage as a clustering algorithm for both genes and samples.