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This would be akin to comparing biological groups that differ in both their levels of variation, and their primary direction of variation, which should bias any analysis in a common trait space.
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The enriched GO terms were then grouped according to their top-level ancestors and resulted in a number of biological process groups that were enriched in the Ada −/− mice.
Clustering analysis showed that major differences exist between the two biological groups and that technical replicates cluster together even before any normalization, as evident from multidimensional and hierarchical clustering (Fig. S1A and B).
The aim of the present article is the presentation of a method developed to classify and model individual trajectories by integrating knowledge about physiology --through biological compartment models-- in order to find groups that make biological sense.
Identification of a large number of differentially regulated genes in each germination phase enables the studies to identify biological pathways and functional groups that are transcriptionally up-regulated or down-regulated at a systems level using MapMan and PageMan tools.
These results show that the combination of correct choice of algorithm, the number of singular values, the number of clusters and a quality metric with biological significance allows separation of species groups that are biologically meaningful.
These factors create the potential for a large amount of biological variation within the treatment groups that is not considered in the statistics.
While the sub-clustering technique used was relatively simple it has produced sub-clusters of orthologue groups that show distinct biological patterns based on two independent measures.
Three loops (L1, L3, and L9) can be specified as the most divergent in terms of motifs for the different OsGELP phylogenetic groups that deviate in biological functions.
Biological degradation is specific to polymer with functional groups that can be attacked by microorganisms. .
Based on this perception, we hypothesized that local Alu integration rate or density may have unequal significance to the mutations of different functional classes or biological groups of cancer genes that are usually predominated by one or multiple special genetic mechanisms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com