Analysis of microarray data by genetic algorithm

Data Envelopment Analysis, Genetic Algorithm, Hyperplane, Efficient Unit

Data Envelopment Analysis (DEA) is actually to obtain the efficiency using inputs and outputs, which can determine efficient and inefficient units with the help of performance calculations such that the efficiency for efficient DMUs is one and less than one for inefficient DMUs [1]. In some cases, the ranking of the decision-making units are not important for decision-makers, and they are only ...

Clustering analysis of microarray gene expression data by splitting algorithm

Preprint submitted to Elsevier Science 29 April 2003 A clustering method based on recursive bisection is introduced for analyzing microarray gene expression data. Either or both dimensions for the genes and the samples of a given microarray dataset can be classi£ed in an unsupervised fashion. Alternatively, if certain prior knowledge of the genes or samples is available, a supervised version of...

cDNA Microarray Data Normalization

Mathematical simulation of a vehicle radiator by genetic algorithm method and comparison with experimental data

In many industrial processes, heat exchangers play the important role of the cooling function. The effective heat transfer rate in a specific process strongly depends on the heat exchanger design. The most popular type of heat exchangers commonly used in the automotive industry, is called "radiator". In engines, radiators play the important role of the cooling process. The present study is de...

Genetic Sequence Analysis by Microarray Technology

Developments within the field of genetic analysis have during the last decade become enormous. Advances in DNA sequencing technology have increased throughput from a thousand bases to over a billion bases in a day and decreased the cost thousandfold per base. Nevertheless, to sequence complex genomes like the human is still very expensive and efforts to attain even higher throughputs for less m...