Sentence examples for classification of expression from inspiring English sources

Hoey [32] aims at the unsupervised classification of expression sequences by employing a hierarchical dynamic Bayesian network.

Classification of expression pattern of those 3062 ESTs showed 11 sets, five of them contain 545 up-regulated ESTs and the other six sets contain 1920 down-regulated ones.

http://www.ebi.ac.uk/GOA/: GOA database at EBI. http://bioinfoserver.rsbs.anu.edu.au/utils/PathExpress-lotus/: and http://bioinfoserver.rsbs.anu.edu.au/utils/GeneBins-lotus/: databases that currently support the functional classification of expression data from L. japonicus 52K.

This is in contrast to the model-based classification of expression profiles that we present here.

Classification of expression profiles into eight dynamical modes was performed in two ways.

Q4:  How does BlockClust compare to other tools for clustering or classification of expression profiles?

We are also restrictive in the classification of the expression relationships as linear expression relationships and the consequent consideration of two genes as coexpressed genes.

We present a categorical Bayesian network framework based on an original learning method for analysis of gene expression data, in particular, for classification of gene expression profiles coming from different populations.

Fig. 2 Volcano plots of differently expressed genes Fig. 3 GO classification of differential expression genes (DEGs) in seeds vs. protocorms Fig. 4 KEGG pathway enrichment scatter diagram of differential expression genes (DEGs) in seeds vs. protocorms.

Although a few studies have demonstrated that SL is an appropriate method for the classification of gene expression data [ 37, 38], there has been no comparison of this method to other methods using gene expression data.

In addition to the classification of gene expression profiles, this report identifies a list of tissue-specific biomarker candidate genes.