균형요인실험계획법을 이용한 cDNA Microarray Design에 관한 연구

Abstract

In our view, the main design issue with cDNA microarray experiments is the determination of which mRNA samples should be hybridized together on the same slide, bearing in mind the objectives of the experiment and the constraints on reagents and materials. Usually, can define that is action that raises change under several conditions about study subject who is fixed as important terminology that is used in society diapason such as experiment(experiment) Iran physiotherapy, chemistry, biomedical engineering and observes and observe the phenomenon. Therefore, experimenter shall observes reason which make change in result through experiment and examines closely. Causes that can explain what present state actually exists much innumerably, and also, various constraints with expense, time make perfect cause searching examination difficult. Accordingly, an actuality experiment between a lot of causes empirically or work which do to arrive in target that want illuminating attribute of leading persons handled in an experiment thus directly selecting some by dictionary information in several angles as purpose of an experiment speak can. A.Fisher is scholar that is lead self-satisfaction which draft importance of experimental design in role and , adversely, statistics of statistics in experimental design while extends in the 1920s and the 30s and works in Rothamsted Experimental Station. He branch of advocated important principle those randomization(randomization), block anger (blocking), number of replication (replicates) be. And in formality of experimental design realization of problem and purpose establishment of an experiment, comprehension of constraint, suitable specification of the model etc. (that any leading person amounted interest when consider whether covariance(covariance) confirmed Itneun and model is crossing (crossed) model or is interest (nested) model because includes necessary leading persons out of leading persons and those leading persons reciprocal action in matrix to be included in matrix, and is interest model consider. Also, model whether fixed effect(fixed effect) model or probability (random) effect whether search and in each model whether normality despotic rule about error is sound process of consideration), decision (decision of number of replication In Accordance With path of confidence interval or power of test required under constraint) of number of replication, randomization, selection of experimental design, a reserve experiment, source collection and analysis of variance follow. In this paper, I studied desirable and reasonable balance block design for cDNA microarray design by an experiment once for all using traditional confounding method. Confirmed that traditional factor experimental design that is gotten from this paper is more useful than other what confounding method. Specially, suggested balanced block design for microarray experiment design than method that is suitable according to algorithm and circumstance, and generalized various microarray designs by latest literature. In a sense, the tools and techniques of statistical design must continue to develop as more and more imaginative experiments are devised by biologists, but they must always be based on the sound principles of analysis of these experiments.