The current study establishes a model-based method to support design teams in making informed multi-criteria decisions for energy-efficiency solutions at the early design stage.
In this work, we developed support vector machine based method to predict thermophilic proteins using the information of amino acid distribution and selected amino acid pairs.
Feng et al. [ 14], using the tripeptide composition of reduced amino acid alphabet as the encoding scheme, presented a support vector machine based method to identify the types of J-proteins.
The estimation formulas based on Veeraswamy method to support DCT block for these three cases are shown in Table 1 (2th and 3th columns) and Table 2, correspondingly.
We report the development and characterization of western blot, quantitative ELISA and mass spectrometry based orthogonal methods to support the assessment of manufacturing consistency.
The qRT-PCR based expression profiles of the selected genes were similar to that detected using Illumina-sequencing based method, and thus supports our results.
The theoretical contribution of this research is that it develops foundational simulation based methods that support the study of construction decision-making as a dynamic control problem.
Whole-tree based methods support this pattern: CoEvol found a phylogenetically independent, significant positive correlation between SVL and RSB, reflecting the fact that most mantellids are both small and have small range sizes, and hinting at replicated evolution of this phenotype within the mantellid radiation.
In contrast to many statistically based methods, the support set generation procedures of LAD are guided by the collective strength of the subsets of variables, without being necessarily restricted to those variables that have the highest individual correlation coefficients with the outcome.
(3) The transaction based method, which incorporates the support of point-to-point tariffs for pool markets, based on pay as bid mechanism to provide price signals to promote the maximum use of the existing transmission network.
After comparing different DNA features, we developed an efficient Support Vector Machine (SVM) based method for Pol II core promoter classification (Core Promoter Prediction Program, CPPP).
