跳到主要內容

臺灣博碩士論文加值系統

(35.153.100.128) 您好!臺灣時間:2022/01/19 03:03
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:曾國炎
研究生(外文):Kuo-Yen Tseng
論文名稱:應用人類基因表現資料於基因表現關聯性之研究
論文名稱(外文):Correlations of Tissue Gene Expression by Analyzing Digital Expression Profiles of Human Tissues
指導教授:董啟功洪炯宗洪炯宗引用關係
指導教授(外文):Chi-Gong TongJorng-Tzong Horng
學位類別:碩士
校院名稱:國立中央大學
系所名稱:資訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
論文頁數:52
中文關鍵詞:基因表現關聯性資料探勘統計分析
外文關鍵詞:gene expressionChi-squareassociation ruleUniGeneSAGEdata mining
相關次數:
  • 被引用被引用:0
  • 點閱點閱:166
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2

本研究試圖去分析現有大量來自不同人類組織的基因表現資料,去尋找那些具有規則性表現或是會同時表現於某幾種組織裡面的基因,這些基因可能具有某些生物上或是藥理學上的關聯性。在本文中,我們提出兩種不同的方式去分析那些表現在不同人類組織中的大量基因之間的關聯性,這些會特別地或是規則地表現在某些特定組織裡的關係透露出這些基因可能具有某些調控上的意義或者是屬於同一個反應路徑和訊號傳導流程的其中一環。


The study attempts to analyze a large number of human genome transcription products from diverse tissues and to discover genes that are co-expressed in some different tissues. Those genes may be of potential biological or pharmaceutical relevance. We proposed two approaches to discover the correlations of gene expression by analyzing multiple expression profiles of different human tissues. The correlations of gene expression reveal that genes are specifically or regularly expressed in particular tissues simultaneously. Besides, the correlations of gene expression can be used to identify the relationships of genes which are potential to be co-regulated, involving in the same biochemical pathway or signal transduction process.


Chapter 1 Introduction1
Chapter 2 Related Work7
2.1The Property of Expressed Sequence Tags (ESTs)7
2.2The Property of UniGene7
2.3The Property of Serial Analysis of Gene Expression (SAGE)8
2.4The Property of Cancer Genome Anatomy Project (CGAP)9
2.5The Property of HomoloGene9
2.6Association Rules10
2.7Chi-square Test Statistics11
Chapter 3 Materials and Methods12
3.1Materials13
3.1.1Human Gene Expression Profiles from UniGene13
3.1.2Human Gene Expression Profiles from SAGE19
3.1.3Mouse Gene Expression Profiles from UniGene21
3.2Methods21
3.2.1Mining Association Rules and Pruning by Chi-square22
3.2.2Mining Correlations using Chi-square Test23
Chapter 4 Experiments and Results25
4.1Environments of Implementation25
4.2Experimental Results25
4.2.1Results after Applying Association Rules25
4.2.2Results after Applying Chi-square Test28
4.3Results Published on Web28
Chapter 5 Conclusions28
References28
Appendix28


[1]Agrawal, R., Imielinski, T. and Swami, A. (1993) Mining association rules between sets of items in large databases, ACM SIGMOD, 207-216.[2]Agrawal, R. and Srikant, R. (1994) Fast Algorithms for Mining Association Rules, VLDB-94, 487-499.[3]Ali, K., Manganaris, S. and Srikant, R. (1997) Partial classification using association rules, KDD-97, 115-118.[4]Audic, S. and Claverie, J. M. (1997) The significance of digital gene expression profiles, Genome Res., 7:986-995.[5]Boguski, M. S., Lowe, T. M. and Tolstoshev, C. M. (1993) dbEST -- database for "expressed sequence tags”, Nat. Genet., 4, 332-333.[6]Brijs, T., Vanhoof, K. and Wets, G. (2000) Reducing redundancy in characteristic rule discovery by using IP-Techniques, In Intelligent Data Analysis Journal, 4 (3).[7]Caron, H., et al. (2001) The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains, Science, 291, 1289-1292.[8]Eickhoff, H., et al. (2000) Tissue gene expression analysis using arrayed normalized cDNA libraries, Genome Res., 10:1230-1240.[9]Ewing, R.M. and Claverie, J-M. (2000) EST databases as multi-condition gene expression datasets, Pac. Symp. Biocomput., 430-442[10]Greller, L. D. and Tobin, F. L. (1999) Detecting selective expression of genes and proteins. Genome Res., 9:282-296.[11]Liu, B., Hsu, W. and Ma, Y. (1999) Pruning and summarizing the discovered associations,” KDD-99.[12]Riggins, G. J. and Strausberg, R. L. (2001) Genome and genetic resources from the Cancer Genome Anatomy Project, Human Molecular Genetics, 10, 663-667.[13]Scheurle, D., DeYoung, M. P., Binninger, D. M., Page, H., Jahanzeb, M. and Narayanan, R. (2000) Cancer gene discovery using digital differential display, Cancer Res., 60, 4037-4043.[14]Schuler, G. D. et al. (1996) A gene map of the human genome, Science, 274, 540-546.[15]Schuler, G. D. (1997) Pieces of the puzzle: expressed sequence tags and the catalog of human genes, J. Mol. Med., 75, 694-698.[16]Srikant, R., Vu, Q., and Agrawal, R. (1997) Mining Association rules with item constraints, KDD-97, 67-73.[17]Stekel, D. J., Git, Y. and Falciani, F. (2000) The comparison of gene expression from multiple cDNA libraries, Genome Res., 10:2055-2061.[18]Toivonen, H., Klemettinen, M., Ronkainen, P, Hätönen, K, and Mannila, H. (1995) Pruning and grouping discovered association rules, Mlnet Workshop on Statistics, Machine Learning, and Discovery in Database, 47-52.[19]Vasmatzis, G., Essand, M., Brinkmann, U., Lee, B. and Pastan, I. (1998) Discovery of three genes specifically expressed in human prostate by expressed sequence tag database analysis, Proc. Natl. Acad. Sci., 95, 300-304.[20]Velculescu, V. E., et al. (1999) Analysis of human transcriptomes, Nat. Genet., 23, 387-388.[21]Velculescu, V. E., et al. (1995) Serial analysis of gene expression, Science, 270, 484-487.[22]Zhuo, D., et al. (2001) Assembly, annotation, and integration of UniGene clusters into the human genome draft, Genome Res., 11, 904-918.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top