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The goal of this paper is to handle the large variation issues in fuzzy data by constructing a variable spread multivariate adaptive regression splines (MARS) fuzzy regression model with crisp parameters estimation and fuzzy error terms.
The program also takes care of other genomic variation issues.
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The proposed method, therefore, handles two problems simultaneously: the problem of large variation issue and the problem of variation spreads in fuzzy observations.
Moreover, we will show that the concept variation issue can be solved with three variants of our solution.
How much time passed from picking to imaging? [Editors' note: the following comments were sent to the authors upon evaluating the revised manuscript.] One issue that still concerns us is the day-to-day variation issue.
Among institutions with review, there was wide variation the issues covered.
The differing natures of individual questions, and the variation in issues raised and often ratings of research priority, hindered a uniform approach.
The study provided insight into variation and issues with current data recording, the willingness of practitioners to collaborate and rate of change achieved by audit and feedback.
In particular there are challenges to detecting true homology via straightforward alignments, due to the high level of sequence and length variation, and issues relating to correcting for the recombination bias while attempting to detect and measure selection acting on the molecule [ 4, 55].
Additional research into the performance of subsequent generations in transplant environments could assess the long-term adaptive consequences of source population size and its effect on genetic variation, an issue of particular relevance for both the conservation of threatened species and invasive species biology (Theoharides and Dukes 2007; Frankham et al. 2014).
In this manuscript, we describe the successful development of a performance-based strategy to identify and evaluate biomarkers predictive of prostate cancer aggressiveness and lethal outcome, even under circumstances of extreme sampling variation, an issue typically encountered during prostate biopsy taking.
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