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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/24521


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/24521


    Title: 評估高密度寡核苷酸晶片正規化方法
    Other Titles: Evaluation of Normalization Methods for the High Density Oligonucleotide Array
    Authors: 黃怡婷;蘇育卉;郭訓志;滕涵菁
    Hwang, Yi-Ting;Su, Yu-Hui;Kuo, Hsun-Chih;Terng, Harn-Jing
    Contributors: 統計系
    Keywords: 高密度寡核苷酸晶片;正規化;尺度正規化;不變集正規化;百分位正規化
    Affymetrix high density oligonucleotide array;An invariant set normalization;Quantile normalization;Scaling normalization
    Date: 2013.09
    Issue Date: 2009-01-13 15:32:34 (UTC+8)
    Abstract: 高密度寡核苷酸晶片 ; 正規化 ; 尺度正規化 ; 不變集正規化 ; 百分位正規化 ; 高密度寡核苷睃晶片（high density oligonucleotide array)因其可 同時提供大量基因序列相關資訊，因此已被廣泛運用在生物醫學研究上， 可用於篩選及監測基因的表現，並對新藥的研發以及疾病產生機制的探 索有所贡獻。但實驗的執行通常會需要準備多個晶片，且取得基因表現 量的過程會包含樣本準備、晶片標記處理等及掃描儀等設備的操作，這 些均會影響觀測到的基因表現量，而造成有誤差觀察資料。因此在進行 分析前，基因表現量的資料需先進行正規化，使得該部分的誤差降至最 低，以確保後續分析結果的正確性。關於晶片基因表現量的正規化方法， 過去許多文獻有進行討論（如Affymetirx，2001, Li及Wong, 2001, Bolstad等人，2003),但多數文獻僅用簡單的文字敘述來呈現正規化方 法的步驟，本文提供三種已被設定在分析基因表現量的軟體正規化方法, 分別爲尺度正規化（scaling transformation)、不變集正規化（invari-ant set transformation)、百分位正規化（quantile normalization)的 執行方式及使用操作範例，再利用二個經實驗設計設計取得得高密度寡 核苷睃晶片資料來比較三種常用於高密度寡核苷睃晶片正規化方法，並 使用六種評估指標來衡量三種正規化方法的表現。
    The high density oligonucleotide array from Affymetrix is very popular in biomedical research. Since it can provide thousands of gene expressions simultaneously, it can be used to explore the possible association between diseases and gene mutation. When reporting the gene expression, many processing procedures are required such as labeling, hybridization and scanning. Furthermore, multiple arrays may be often needed in an experiment. These may induce variations when observing the expression level and may have significant effects on data. In turn, normalizations are needed to reduce this kind of variation. This paper reviews three well-known normalization techniques for the Affymetrix array including scaling normalization, an invariant set normalization and the quantile normalization. Two well-designed public Affymetrix data are used to illustrate the normalization procedures and six indices are used to evaluate the performance of these normalization methods.
    Relation: 中國統計學報, 51(3), 373-402
    Data Type: article
    Appears in Collections:[統計學系] 期刊論文

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