균형요인실험계획법을 이용한 cDNA Microarray Design에 관한 연구
- Author(s)
- 이정화
- Issued Date
- 2006
- 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.
- Alternative Title
- Analysis of cDNA Microarray Design using the Balanced Factorial Designs
- Alternative Author(s)
- Lee, Jung-Hwa
- Affiliation
- 조선대학교 대학원
- Department
- 일반대학원 전산통계학과
- Advisor
- 崔圭丁
- Awarded Date
- 2007-02
- Table Of Contents
- 목차 = ⅰ
표목차 = ⅳ
그림목차 = ⅴ
ABSTRACT = ⅵ
Ⅰ. 서론 = 1
1.1 연구배경 = 1
1.2 연구목적 = 2
Ⅱ. 완전랜덤화 설계 = 4
2.1 실험계획 = 4
2.1.1. 실험계획의 원리 = 4
2.1.2. 실험계획법의 분류 = 5
2.1.3. 분산분석법 = 7
2.2 완전랜덤화 설계 = 8
2.2.1. 일원배치법 = 9
2.2.2. 이원배치법 = 9
Ⅲ. 요인실험설계 = 11
3.1 요인실험법 = 11
3.1.1. 다요인실험법 = 11
3.1.2. 2k-요인 실험 = 14
(1) 2²-요인 실험 = 14
(2) 2³-요인 실험 = 16
3.1.3. 3k-요인 실험법 = 18
(1) 3²-요인 실험 = 18
Ⅳ. 교락법과 일부실시법 = 20
4.1 교락법 = 20
4.1.1. 교락의 의미 = 20
4.1.2. 정의대비(defining contrast) = 22
4.1.3. 2k-요인실험에 대한 교락법 = 24
(1) 2²-요인실험을 2블록(크기=2)에 실험하는 경우 = 24
(2) 2²-요인실험을 2블록(크기=4)에 실험하는 경우 = 26
4.2 일부실시법 = 27
4.2.1. 부분요인실시법 = 27
4.2.2. (0, 1) 직교배열표를 이용한 부분실시 = 30
4.2.3. 선명도(resolution) = 31
Ⅴ. Microarray 실험계획 = 34
5.1 Microarray = 34
5.2 Microarray 실험계획의 목적 = 38
5.3 Microarray 실험계획법의 종류 = 39
5.3.1. 그래프 표현법 = 39
5.2.2. 기준계획(reference design) = 41
5.2.3. 고리계획(loop design) = 43
Ⅵ. 요인 Microarrays = 45
6.1 2수준 요인 Microarrays = 45
6.1.1. 2²-요인실험에서의 설계 = 45
6.1.2. 2³-요인실험에서의 설계 = 52
6.1.3. 3×2 실험에서의 설계 = 54
Ⅶ. 결론 및 토론 = 57
참고문헌 = 58
부록 = 66
- Degree
- Doctor
- Publisher
- 조선대학교 대학원
- Citation
- 이정화. (2006). 균형요인실험계획법을 이용한 cDNA Microarray Design에 관한 연구.
- Type
- Dissertation
- URI
- https://oak.chosun.ac.kr/handle/2020.oak/6559
http://chosun.dcollection.net/common/orgView/200000233948
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