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RNA-seq data for each tissue was aligned using two distinct methodologies – one for pseudogenes and one for real genes.
To the best of our knowledge, this is the first CDSS that integrates two well established methodologies, one for prognostication (SUPPORT) and the other for decision making (regret DCA), to assist with the hospice referral decision-making process.
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The aim of this paper is to generate a better understanding among economists about how such databases are created, and what this implies for the empirical methodologies one should (or should not) apply.
Using the ML methodology, one QTL for resistance (LG6) and three for survival (LG5, LG6 and LG9) were identified at genome-wide level with significance below 1%.
The Means, Meanings, and Contexts (MMC) Framework is presented as an alternative methodology, one that allows for the integration of qualitative social science into the understanding of community vulnerability, drawing upon ethnographic research techniques and theories of place-making.
As for the methodology, one challenge is the necessity of controlling for place distributions.
Concerning methodology, one point remained unclear for this reviewer.
Again, using the described methodology one can find split-alignment for a contig's 3′ and 5′ ends.
By a similar methodology, one can estimate the relevant prediction for immigrant families, had they behaved as the native English.
For the used methodology, one can see [19, 20] where the stabilities are investigated in the cases bounded and unbounded feedbacks for some evolution equations.
The methodology has two versions, one for developed areas and another for underdeveloped areas.
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