Gene Set Enrichment Analysis (GSEA) is a microarray data - mining technique used to determine whether there is coordinated differential expression or «enrichment» in a set of
functionally related genes when comparing control and experimental samples [35].
GOMiner — To provide additional statistical stringency to the identification of potential targets, we then analyzed the data sets generated by the SAM - RS analysis of the microarray data for hypoxia - associated coregulation of multiple,
functionally related genes.
Finding MODY3 led to the rapid discovery of MODY1,
a functionally related gene known as HNF -4-alpha, which had been mapped to the MODY1 - region of chromosome 20 by Markus Stoffel, MD, Rockefeller University, a collaborator in the search for MODY1 since 1991.
Not exact matches
mutation (s) of a
gene loss of a copy or reduced expression of a
gene increased expression of a
gene reliance on a
gene functionally or structurally
related to another, lost
gene (a.k.a., a paralog dependence)
Inspired by the knowledge - based analysis methods developed for
gene expression data analysis, we implemented methods for examining
functionally -
related SNPs as a group.
To directly measure the level of coordination in the expression of
genes, we used highly sensitive fluorescence in situ hybridization (FISH) to count individual mRNAs of
functionally related and unrelated
genes within single Saccharomyces cerevisiae cells.
Although the mechanism of age -
related decline in DNA repair capacity is unknown, growing evidence suggests that epigenetic events (e.g., DNA methylation) contribute to the ageing process and may be
functionally important through the regulation of the expression of DNA repair
genes.
Recent evidence has connected MI risk with coding - sequence mutations at two
genes functionally related to APOA5, namely lipoprotein lipase and apolipoprotein C - III (refs 18, 19).
The aim of WICT is the removal from the organismal environment of accumulated cellular and intracellular damage present in the patient's endogenous cells, including telomere depletion, nuclear DNA damage and mutations, mitochondrial DNA damage and mutations, replicative senescence,
functionally - deleterious age -
related changes in
gene expression and accumulated cellular and intracellular aggregates.