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(a) Hierarchical clustering based on global gene expression measured by microarray of a subset of T1D and ND SC-β cell lines sorted for INS and NKX6-1.
New diagnostic assays based on global gene expression are being introduced into clinical practice or tested in large-scale clinical trials.
These studies collectively demonstrate the power of applying a genomic approach based on global gene expression to identify genes that may be involved in common pathways giving rise to ASD.
Since these gene families had been cited in reports analyzing tumor invasion and metastasis [10], [11], tumor-progression processes associated with poor prognosis and reduced survival; we decided to test this expression signature on the analysis of human cancer survival based on global gene expression patterns.
AM- and nodulation-inducible genes identified by clustering based on global gene expression patterns.
Whole genome or transcriptome sequencing enables functional genomic studies based on global gene expression.
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Previous studies have shown that Podoviridae and Myoviridae could be classified using BLAST-based tools and phage distance calculations based on global shared genes [ 9, 14, 61].
Clustering on columns discriminates the treatments based on global considerations of the gene expression patterns.
Normalisation of the expression level was done using Affymetrix software MAS 5, which is based on global scaling of total gene expression level per microarray.
Specifically, the presence of gene pairs or gene clusters of closely homologous genes based on global sequence similarity with threshold of more than 60% amino acid sequence identity using cd-hit program of CD-HIT package were investigated.
The simple design strategy used in this study, based on global alignements covering the whole gene, does not need the use of a specific algorithm as the one used for the TessArray RPM-Flu resequencing microarray which was based on probe sequence selection [ 29].
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