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The method we use for protein and mutation grounding was previously described by [ 19] and is summarized below: In the first stage a pool of candidate protein accession numbers is generated based on mappings of gene and protein names occurring in the target documents to accession numbers in MGDB.
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From the above discussion, it is clear that there are some lacunas in the existing literature of GTSP which are summarized below: In the existing literature, GTSPs are considered only in a crisp environment.
We have employed several versions of our algorithms and the details are summarized below: In this algorithm [Please see Algorithm ??], we have used the feature selection algorithm to identify some of the best SNPs that can together identify two groups.
A subset of the eligibility criteria for each trial was selected and is summarized below in Table 4.
These studies are summarized below and placed in the context of additional research explaining the putative roles of identified neurological structures.
The results of the various analyses are summarized below and shown in Table 4.
Full details of the research tools that are summarized below were published in Haque et al. 2012 [ 14].
; please see Thwaite & McKay The main features of the discourse in the dataset are summarized below; for further discussion of these, please see Thwaite & McKay please see Thwaite & McKay 2013.
Findings are summarized below, in narrative form, under the headings: 'General program details', 'Curriculum', 'International partnerships and exchanges' and 'Graduate retention'.
The parameter values obtained from fitting the GDC to the TACs and the GDC fit errors are summarized below in Table 1.
Findings from the workshop are summarized below in Table 1.
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