This method compares the mean (or median) expression value of genes in each module to a distribution of mean (or median) of 10, 000 random modules of the same size drawn from the expression values for the same sample.
One of the challenges of high-throughput experiments is the analysis of very large datasets in order to extract biologically pertinent knowledge [ 5]. Conclusions drawn from the expression of a single gene or a small set of related genes may lead to an incomplete understanding of particular phenomena.
These data can be directly treated according to the classical thermodynamic relationships drawn from the Gibbs Duhem expression to evaluate the activity and osmotic coefficient of the aqueous solutions of electrolytes and non-electrolytes, and, in the case of electrolytes, allow determination of solubility of the solute.
Confirmation of gene changes by secondary analysis (e.g., PCR) may be included to support conclusions drawn from the genomics expression analysis.
Beyond these quotations, a portion of the quoted material was drawn from the most poignant expression in the Ford manuscript; in particular The Nation made use of six examples of Mr. Ford's expression of his reflections on [p*599] events or perceptions about President Nixon.[n22] The fair use inquiry turns on the propriety of the use of these quotations with admittedly strong expressive content.
This interpretation was drawn from the observation that the expression of genes in the Calvin cycle evolves with the root types, while the C4 pathway is tentatively independent of the types of cassava roots.
The main conclusion we can draw from the above is that the expression of OXPHOS genes can be modulated at the transcriptional level.
The optimized annotation matrix O was generated by executing the EMVC algorithm on 50 bootstrap resampled datasets drawn from the standardized leukemia gene expression data with gene clusters generated by cutting the dendrogran generated via average-link agglomerative hierarchical clustering with correlation distance at k in the range of 3 15.
The optimized annotation matrix O was generated by executing the EMVC algorithm on 50 bootstrap resampled datasets drawn from the standardized p53 gene expression data, i.e. each column was mean centered and scaled to have a standard deviation of 1, with gene clusters generated by k-means clustering for k in the range of 3 15.
The following conclusions can be drawn from the microarray data: Firstly, gene expression profiling reveals 50% overlap of genes induced by NGF-TrkA with genes expressed downstream of V560G c-Kit.
Without information about the sizes of the two transcriptomes being compared, no inferences can be drawn from transcriptome-normalized expression about expression per gene copy or expression per cell (fig. 1).
