Performa - The Revolutionary Form Development Platform Student : Cheng Xiaoyi SMA Supervisor : Prof Ooi Beng
نویسنده
چکیده
Project Abstract : This thesis aims to develop better tools for microarray data analysis, thus reducing the false discovery rate. Microarray experiments have many sources of systematic variation which affect the measured gene expression levels. Normalization is the name of the process which is used to describe the process of removing such variation. Out of all the existing normalization processes, most of them do not take care of the systematic biases that may occur in the data. But LOWESS (Locally Weighted Linear Regression) is one method which does this and the simplistic model it assumes has made it very popular among the biologists.
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تاریخ انتشار 2004