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Several such models have been developed for type 2 diabetes, and their usefulness in decision making is widely recognized (2).
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Although several molecular marker techniques have been developed for typing different yeast species, no one has been designed so far for L. thermotolerans.
DFR (different region) analysis has been developed for typing Yesinia pestis in our previous study, and in this study, we extended this method by using 23 DFRs to investigate 909 Chinese Y. pestis strains for validating DFR-based genotyping method and better understanding adaptive microevolution of Y. pestis.
A novel and highly reproducible amplified fragment length polymorphism (AFLP) typing approach was developed for typing of Enterococcus strains from the environment.
This paper introduces a novel autoresonant machine design, which has been developed for this type of actuator.
QTLs and genes have been identified and some tolerant lines have been developed for this type of flooding (Hattori et al. 2008, 2009).
Once a class structure had been developed for Gaussian type orbitals, the approach was extended to read in several other popular output file formats including Q-Chem, GAMESS-US, NWChem, and Molpro.
However, no mature bioinformatic pipelines and computational framework have been developed for this type of study.
Several indexes using clinical information and routine laboratory measurements have been developed for assessing type 2 diabetes risk (9– 11).
Since the coexpression networks have unique labels on nodes (genes), several efficient algorithms for frequent subgraph pattern mining have been developed for this type of graphs [ 9- 13].
Numerous classifications have been developed for these types of injuries; the classification as described by Bado remains the most useful.
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