This paper introduces an approach to classification of RNA-seq read counts using grey relational analysis (GRA) and Bayesian Gaussian process (GP) models. Read counts are transformed to microarray-like data to facilitate normal-based statistical methods. GRA is designed to select differentially expressed genes by integrating outcomes of five individual feature selection methods including two-sa...

Recently, grey relational analysis (GRA) has been widely applied in analyzing multivariate time series data (MTS); as a solution to the traditional statistical limitations. GRA, which has been proven to be simple and accurate method for analysing relationship in MTS are broadly used in various disciplines such as economics, sociology and engineering. GRA is employed to search for grey relationa...

Effects of different feeding frequencies on growth performance, preprandial metabolic parameters, and endocrine traits were studied in calves up to 28 d after birth and respective postprandial changes were investigated on d 3 and 7. Calves were fed with a computer-programmed automate that allowed frequent daily intakes (GrA; n = 7) or were fed twice daily by bucket (GrB; n = 7) the same daily a...

The aim of this paper is to use a new approach of performance evaluation, Grey Relation Analysis (GRA), which is a concept borrowed from the study of industry and increasingly applied to commerce. GRA is used to evaluate the relative performance of three investment Taiwanese trust firms, which have been reorganized into banks. The result of the study indicates that although the sample size is s...

This paper presents a consumer oriented approach, using a grey relational analysis (GRA), neural networks (NNs), and a tabu search (TS) algorithm, to determining the best combination of product form design. The GRA model is used to identify the most influential elements of product form. The NN model is used in conjunction with the GRA model, in order to predict and suggest the best form design ...