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The rationale of this analysis is to detect somatic mutations in ESTs and identify genes that show a significant excess of non-synonymous over synonymous substitutions in tumors.
The rationale of this analysis is that because mutations in critical splice sequences disrupt proper splicing and often lead to loss of gene function, introns create a sizeable target for mutation to null alleles (Lynch 2002).
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The rationale for this analysis was to seek confirmation of our logistic regression-based findings using a different method to predict the smoking status of participants.
The rationale of the analysis can be briefly described as follows: look for the simplest model, which will recalculate the distribution of the dependent variable.
The rationale of the analysis was based on the assumption that all members of the sub-family share a common structure, and took advantage of the large number of RIF_A amino acid sequences to obtain and to quantitatively compare several ab-initio 3D structure predictions.
The rationale of the analysis is that when one reduces the amount of a growth factor, the immediate result is a sudden reduction in tumour growth, because the threshold necessary to achieve the original benefit is not reached; as a consequence, the growth rate of the tumour immediately declines.
The rationale of the analysis is that when one reduces the amount of a growth factor, the immediate result is a sudden reduction in tumor growth, because the threshold necessary to achieve the original benefit is not reached; as a consequence, the growth rate of the tumor immediately declines.
The rationale and significance of this analysis as pertains to your point is as follows: There are four important considerations we need to keep in mind while working with exploratory analysis (Guyon and Elisseeff, 2003).
The rationale behind this analysis is that because of the various stages in Chlamydiae infections (infectious and persistent cycles) we hypothesize that the different GroEL protein copies are performing distinct functions, as their expression levels are different.
Then, the rationale of an analysis method oriented to this class of systems will be presented, together with its two main components, the modelling framework and the evaluation algorithm.
This provides the rationale of our analysis, including the phylogenetic footprinting analysis (next section) and genome-wide scanning for LexA-binding site predictions.
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