Over the last decade, many analytical methods and tools have been developed for microarray data. The detection of differentially expressed genes (DEGs) among different treatment groups is often a primary purpose of microarray data analysis. In addition, association studies investigating the relationship between genes and a phenotype of interest such as survival time are also popular in microarr...

determined by six different analytical methods, i.e., the glucose-oxidase method (G), the autoanalyser method with Hoffman's method (A), the Somogyi-Nelson method (S), the o-toluidine method (T), the Momose's method (M) and the Hage dorn-Jensen method (H). The values determined by micromethods of HagedornJensen, of Momose and of Somogyi-Nelson are usually higher, and the values obtained by o-to...

A study comparing the electrophoretic separation performance attainable from microchips molded by masters fabricated using conventional CNC machining techniques with commercial microchips, wire imprinted microchips, and microchips from LIGA molding devices is presented. An electrophoresis-based detection system using fluorescence microscopy was used to determine the analytical utility of these ...

Networks are often used to incorporate heterogeneity in contact patterns in mathematical models of pathogen spread. However, few tools exist to evaluate whether potential transmission pathways in a population are adequately represented by an observed contact network. Here, we describe a novel permutation-based approach, the network k-test, to determine whether the pattern of cases within the ob...

of the Thesis

This paper presents the power quality problems of the power system and discusses the current situation of power quality management. The various analytical methods and means of power quality are discussed in detail. Depending on the power system harmonic, reactive and negative sequence power quality indicators, this paper expounds power quality indicators treatment methods, and analyzes the pros...

Data warehouses and Online Analysis Processing (OLAP) have acknowledged and efficient solutions for helping in the decisionmaking process. Through OLAP operators, online analysis enables the decision-maker to navigate and view data represented in a multi-dimensional manner. But when the data or objects to be analyzed are complex, it is necessary to redefine and enhance the abilities of the OLAP...

BACKGROUND Stepped wedge trials (SWTs) can be considered as a variant of a clustered randomised trial, although in many ways they embed additional complications from the point of view of statistical design and analysis. While the literature is rich for standard parallel or clustered randomised clinical trials (CRTs), it is much less so for SWTs. The specific features of SWTs need to be addresse...

In order to efficiently improve the prediction accuracy, two load forecasting model based on fuzzy theory are presented, which are fuzzy clustering model and improved fuzzy regression analysis model .The method of fuzzy clustering is used to divide the area by the similar feature of load increasing. The new division is promising to improve the result of evident degree of clustering index to pow...

Abstract— Forging is a very complex process and the measurement of actual forces for real material is difficult and cumbersome. The main objective of this document is to use the analytical methods for measuring parameters such as load, and stress distribution of forging process and use them to make simple, reliable, fast and non-expensive simulation tools, contrary to the commercial software’s ...