Contamination removal methods in cDNA microarray data

Shih-Huang Chan, Wan Chi Chang, Chien Ju Lin

研究成果: Conference contribution

摘要

Our objective is to detect and remedy the contaminated spots for cDNA microarray data. To check the existence of unusual spots, single linkage clustering is used to assess the background intensities. Then, K-means clustering method is applied to identify the contaminated area. We estimate the amount of contamination, for background and foreground, through the use of nonparametric spline regression and empirical cumulative distribution approach, separately. A simulation study shows that the performance of the recommended approach is promising.

原文English
主出版物標題2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006
頁面39-40
頁數2
DOIs
出版狀態Published - 2006 十二月 1
事件2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 - College Station, TX, United States
持續時間: 2006 五月 282006 五月 30

出版系列

名字2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006

Other

Other2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
國家/地區United States
城市College Station, TX
期間06-05-2806-05-30

All Science Journal Classification (ASJC) codes

  • 生物化學、遺傳與分子生物學(雜項)
  • 計算機理論與數學
  • 電腦視覺和模式識別
  • 統計與概率

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