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For those C. albicans and zebrafish proteins that were selected based on functional annotations, one-way analysis of variance (ANOVA) was applied on the gene expression profiles in our time-course microarray data that correspond to these proteins to further select differentially expressed proteins.
Focusing on the 52 sweeps containing only one gene, we performed a gene set enrichment analysis based on functional annotations.
Functional gene classification analysis generates gene-to-gene similarity matrix based on functional annotations associated with each gene and classifies genes into functionally related groups.
For doing that, we constructed a sequence alignment of 35 distinct Kunitz type proteins (Fig. 8) which are categorized into five classes; body trypsin inhibitor (BT), chymotrypsin inhibitor in venoms (CTI), trypsin inhibitor in venoms (TI), double functional toxin (DFT) as well as K+ channel blocker (KB) of various species based on functional annotations of Swissprot database.
The above observations are all based on functional annotations for genes in S. cerevisiae.
We assessed gene cluster coherence based on functional annotations of mouse genes.
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In recent years, a number of recognizing disease gene approaches and computer tools have been developed through building mathematic models based on functional annotation, sequence-based features, protein interaction, and disease phenotype [ 7– 16], such as sequence features [ 15], functional annotation [ 7, 8, 10, 13], and physical interactions [ 12, 13, 17].
Further the most likely candidate genes for each important QTL were also discussed based on functional annotation.
In addition, the most likely candidate genes for three new QTL (qLVN6, qSVN7, and qSVA8.1) were identified based on functional annotation.
Pathway analysis based on functional annotation of these estrogen-regulated genes identified gene signatures with known or predicted roles in cell cycle control, cell growth (i.e. ribosome biogenesis and protein synthesis), cell death/survival signaling and transcriptional regulation.
By analysis based on functional annotation of acutely estrogen-regulated genes we have identified gene signatures that encompass four different aspects of estrogen action, and contain different proportions of c-Myc-responsive genes: cell cycle control, cell growth, cell death and transcriptional regulation.
More suggestions(17)
based on functional principles
based on functional requirements
based on clinical annotations
based on manual annotations
based on functional networks
based on functional pathways
based on functional equations
based on available annotations
based on functional markers
based on human annotations
based on functional groups
based on functional areas
based on genome annotations
based on functional tests
based on functional reviews
based on functional criteria
based on functional relationships
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