Sentence examples for classified differentially from inspiring English sources

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To assess the biological significance of the gene list derived above we classified differentially expressed genes in normal AA and CA by manual separation by function using available data from public databases such as UniGene, OMIM and Entrez PubMed and the gene lists from RMA/SAM.

We further classified differentially expressed genes into different categories according to their expression patterns: 1) genes that are highly expressed in each of the four stages; 2) genes that are highly expressed in early stages; 3) genes that are highly expressed in late stages (Additional file 3).

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Interpretation of genes showing differential expression was facilitated by using GoMiner to classify differentially expressed genes in the context of the Gene Ontology (GO database May 2006)[ 24, 25].

To classify differentially expressed genes, we separated the genes from RMA-SAM analysis manually by function using available data from public databases (UniGene, OMIM and Entrez PubMed).

We were able to classify differentially expressed genes in ALMS fibroblasts into 4 groups: cell cycle, extracellular matrix components/fibrosis regulation, cellular adhesion/motility and apoptosis (Figure 2, Table 2 and Table S2).

DAVID EASE online tools were used to functionally classify differentially expressed genes.

The DAVID classification tool was used to classify differentially expressed genes by their functions in specific biological processes.

The same method to classify differentially detected genes (described in Figure 2) was used for the analysis.

The DAVID annotation clustering module [ 25, 26] set at medium stringency (default level) was used to classify differentially expressed G. nigrifrons transcripts into functional groups.

The DAVID v6.7 annotation clustering module (Huang et al. 2009a, 2009b) was used to classify differentially expressed transcripts into functional groups.

Spearman's correlation between microarray and RT-PCR data: rho = 0.9286; p-value = 0.0067 The PANTHER classification system was used to classify differentially expressed genes by their functions in specific biological processes.

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