參考文獻
[1] 陳健尉,「生物晶片在生物醫學上之應用」,國立中興大學農業暨自然資源學院/國立中興大學生物科技發展中心/教育部植物生物技術教學資源中心,生物科技新知研習會,國立中興大學,台中市,民國九十三年八月十九日至二十日。
[2] 陳健尉,「生物晶片之生技應用」,國立中興大學生物科技發展中心/國家科學委員會,台灣生物科技產學論壇,國立中興大學,台中市,民國九十二年十二月四日。
[3] 李炎編著,基礎生物資訊,藝軒出版社,台北,民國九十一年。
[4] 張雅芳,黃正仲,「微陣列生物科技」,科學發展月刊,第三十八期,第34-41頁,民國九十三年。[5] 呂榮銘,「生物晶片(Biochips)的技術發展現況(全文)」,化工資訊月刊,化工所產資組,第十四卷第四期,民國八十九年四月 。[6] 周鵬程編著,遺傳演算法原理與應用-活用Matlab,全華出版社,台北,民國九十四年。
[7] 莊麗月,楊正宏,杜崇睿,張學偉,「GA-PSO用於基因表現資料的特徵選取」,2006數位科技與創新管理國際研討會,華梵大學,台北縣,民國九十五年。
[8] 王景南,「多類支持向量機之研究」,元智大學資訊管理學系碩士論文,民國九十二年六月。[9] 游源惠,黃建軒,「導入SVM之棋類人工智慧-以四連環遊戲為例」,2006數位科技與創新管理國際研討會,華梵大學,台北縣,民國九十五年。
[10]林正淇,「多方法分析探索B細胞淋巴瘤之基因表現型態」,雲林科技大學資訊管理學系碩士論文,民國九十一年六月。[11]蔡孟勳,盧信智,「以混合式模糊法分析基因晶片之資料集」,第12屆模糊理論及其應用會議,宜蘭大學,宜蘭縣,民國九十三年。[12]顏勝茂,「利用基因演算法建構演化樹之分析」,中華大學資訊工程學系碩士論文,民國九十四年六月。[13]張育政,「結合約略集合理論與基因演算法於支持向量機」,中華大學資訊管理學系碩士論文,民國九十四年六月。[14]盧信智,「應用卵巢癌之微陣列晶片分析基因表現量及調控路徑」,國立台灣大學電機工程系碩士論文,民國九十五年六月。
[15]趙嘉煌,「特徵選取在微陣列基因表現資料之應用」,國立台灣科技大學資訊工程系論文,民國九十三年六月。[16]潘麒全,「可修正的二分群集法」,中原大學資訊管理學系碩士,民國九十二年六月。[17]Jin-Tsong Teng, and Tsu-Tian Lee, “Classification of Ovarian cancer based on Intelligent systems with Microarry data,”2005 IEEE International Conference on System, Man and Cybernetics, pp. 1053-1058, 2005.
[18]G.-S Huang, “Microarray Analysis of Ovarian Cancer,” 2005 IEEE International Conference on System, Man and Cybernetics, 2005.
[19]Cortes, C., and Vapnik, V., “Support Vector Network,” Machine Learning, Vol.20, pp. 273-297, 1995.
[20]Burges,C.J.C., “A tutorial on support vector machine for pattern recognition,” Data mining and Knowledge Discovery, Vol.2, No.2, pp. 121-167, June 1998.
[21]Zimmermann, J. J., Fuzzy Set Theory and Its Applications, Kluwer Academi, Boston, 1991.
[22]V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995.
[23]Cheng-Lung Huang, and Chieh-Jen Wang, “A GA-based feature selection and parameters optimization for support vector machines,” Expert Systems with Applications, March 2006, pp. 231-240.
[24]Te-Ming Huang, and Vojislav Kecman “Gene extraction for cancer diagnosis by support vector machines -- An improvement,” Artifical Intelligence in Medicine, vol.35, pp.185-194, 2005
[25]Krzysztof Simek, Krzysztof Fujarewicz, Andrzej Swierniak, Marek Kimmel, Barbara Jarzab, Malgorzata Wiench, and Joanna Rzeszowska“Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data,” Engineering Applications of Artificial Intelligence, vol.17, pp.417-427, 2004.
[26]DeRisi J, Penland L, Brown PO, Bittner ML, Meltzer PS, Ray M, Chen Y, Su YA, and Trent JM, “Use of a cDNA microarray to analyze gene expression patterns in human cancer,” Nature Genet, vol 14, pp.457-460, 1996.
[27]DeRisi JL, Iyer VR and Brown PO, “Exploring the metabolic and genetic control of gene expression on a genomic scale,” Science No.278, pp.680-686, 1997.
[28]Schena M, Shalon D, Davis RW and Brown PO “Quantitative monitoring of gene expression patterns with a complementary DNA microarray,” Science 270, pp.467-470, 1995.
[29]Peck K, Stryer L, Glazer AN and Mathies RA “Single-molecule fluorescence detection: autocorrelation criterion and experimental realization with phycoerythrin,” Proc. Natl. Acad, Sci. USA 86, pp.4087-4091, 1989.
[30]Glazer AN, Peck K and Mathies RA “A stable double-stranded DNA-ethidium homodimer complex: application to picogram fluorescence detection of DNA in agarose gels,” Proc. Natl. Acad. Sci. USA 87, pp.3851-3855, 1990.
[31]Velculescu VE, Z. L., Vogelstein B and Kinzler KW “Serial analysis of gene expression,” Science 270, pp.484-487, 1995.
[32]Zhang L, Zhou W, Velculescu VE, Kern SE, Hruban RH, Hamilton SR, Vogelstein B and Kinzler KW “Gene expression profiles in normal and cancer cells,” Science 276, pp.1268-1272, 1997.
[33]Fodor SPA“Massively parallel genomics,” Science 277, pp.393-395, 1997.
[34]Fodor SPA, Read JL, Pirrung MC, Stryer L, Lu AT and Solas D, “Light-directed, spatially addressable parallel chemical synthesis,” Science 251, pp.767-773, 1991.
[35]Fodor SPA, Rava RP, Huang XC, Pease AC, Holmes CP and Adams CL, “Multiplexed biochemical assays with biological chips,” Nature 364, pp.555-556, 1993.
[36]C.-C. Chuang, “Dimension Reduction with Support Vector Regression for Ovarian Cancer Microarray Data,” 2005 IEEE International Conference on System, Man and Cybernetics, 2005.