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The nine selected studies were evaluated by four different methods which resulted in 36 evaluations.
It may, however, be a consequence of our rather stringent approach to selecting TDTs (see Materials and Methods), which resulted in a relatively short list of candidate genes.
All methods which resulted in parameter estimates with a RBias <5% for the fixed effect parameters, and <10% for the random effect parameters, were considered to be unbiased.
The assembled RNAseq data was used as evidence in ab initio predictions of gene models and alternative splice variants (see Methods), which resulted in a set of 15,120 predicted genes.
All methods which resulted in parameter estimates with a RSD <10% for the fixed effect parameters, and <20% for the random effect parameters, were considered to give precise parameter estimates.
For each species, the predicted ORFs and the ESTs producing significant scores were assembled with GAP4 (see Methods), which resulted in contigs containing the ORF sequences and all the ESTs associated with each hypothetical gene (Table 2).
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First, primary studies in economics usually employ a variety of data and statistical methods, which results in a dispersion of estimates due to methodological differences.
Since prediction is the process to forecast almost near future [1], therefore, using methods which result in less error prediction has a broad application in many fields.
Developing new feature extraction and classification methods which result in both lower complexity and higher accuracy than the algorithm of [1].
For the incorporation and sustained release of VEGF, the protein was encapsulated in NPs with biodegradable poly(lactic-co-glycolic acid) (PLGA) by multi-emulsion and solvent evaporation methods, which result in the protein-loaded round-shaped NPs [9, 10].
Our present work improves upon [1] in two important respects: (1) Developing new feature extraction and classification methods which result in both lower complexity and higher accuracy than the algorithm of [1].
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