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應(yīng)用點(diǎn)著色聚類方法識(shí)別阿爾茨海默病致病基因

發(fā)布時(shí)間:2018-05-16 05:57

  本文選題:阿爾茨海默病 + DNA微陣列 ; 參考:《四川師范大學(xué)》2012年碩士論文


【摘要】:阿爾茨海默病是一種最常見(jiàn)的癡呆癥。識(shí)別與阿爾茨海默病有關(guān)的候選致病基因是一項(xiàng)重要的研究。目前通過(guò)分析DNA微陣列數(shù)據(jù)從而識(shí)別與疾病有關(guān)的基因已經(jīng)成為一個(gè)熱點(diǎn),并且在這些分析方法中,聚類是計(jì)算分析的一個(gè)基礎(chǔ)。在本文中,應(yīng)用圖論中的點(diǎn)著色理論,將表達(dá)相似的基因聚在一起(即生物功能相近的基因聚在一起)。然后分析聚類后的結(jié)果,識(shí)別出可能與阿爾茨海默病有關(guān)的基因。本文提出了在圖論的點(diǎn)著色基礎(chǔ)上一種全新的聚類識(shí)別方法。運(yùn)用這種方法,識(shí)別了27個(gè)基因與阿爾茨海默病有關(guān),并且其中3個(gè)基因已經(jīng)被其他研究小組證明與阿爾茨海默病有關(guān),另外2個(gè)基因與神經(jīng)疾病有關(guān)。本文的方法有如下三個(gè)優(yōu)點(diǎn):1.能將共同表達(dá)的基因聚在一起;2.聚類后得到類的個(gè)數(shù)在理論上是最少的;3.使用點(diǎn)著色方法對(duì)基因進(jìn)行聚類和識(shí)別在過(guò)去的研究中從沒(méi)被提出過(guò)。本文主要研究?jī)?nèi)容如下: (1).介紹了阿爾茨海默病的研究現(xiàn)狀和DNA微陣列技術(shù),并介紹DNA微陣列技術(shù)在阿爾茨海默病上的應(yīng)用。 (2).詳細(xì)介紹了圖論中點(diǎn)著色理論和聚類的關(guān)系,同時(shí)闡述了點(diǎn)著色聚類算法。 (3).應(yīng)用點(diǎn)著色算法對(duì)基因進(jìn)行聚類,識(shí)別與阿爾茨海默病相關(guān)的基因,最后對(duì)比點(diǎn)著色聚類算法與K-means算法
[Abstract]:Alzheimer's disease is the most common form of dementia. The identification of candidate genes associated with Alzheimer's disease is an important study. At present, the identification of disease-related genes by analyzing DNA microarray data has become a hot spot, and clustering is the basis of computational analysis in these analytical methods. In this paper, the point coloring theory in graph theory is applied to gather genes expressing similar functions (that is, genes with similar biological functions). The clustering results were then analyzed to identify genes that might be associated with Alzheimer's disease. In this paper, a new clustering recognition method based on point coloring of graph theory is proposed. Using this method, 27 genes were identified to be associated with Alzheimer's disease, and three of them have been linked to Alzheimer's disease by other research teams, and the other two genes have been linked to neurological diseases. The method in this paper has three advantages: 1. A gene that can be co-expressed together. After clustering, the number of classes is the least in theory. The use of point-coloring to cluster and recognize genes has never been proposed in previous studies. The main contents of this paper are as follows: There is no such thing as a bird. This paper introduces the research status and DNA microarray technology of Alzheimer's disease, and introduces the application of DNA microarray technology in Alzheimer's disease. There are two pieces of water. The relationship between point coloring theory and clustering in graph theory is introduced in detail. 3. The point coloring algorithm is used to cluster genes and identify the genes related to Alzheimer's disease. Finally, the point coloring clustering algorithm and the K-means algorithm are compared.
【學(xué)位授予單位】:四川師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:R749.16

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