| Summary: | 碩士 === 國立交通大學 === 統計學研究所 === 106 === An effective cure for cancer is always a dilemma between tumor heterogeneity and the mechanism of avoiding immune destruction. In order to develop advanced treatment, such as immunotherapy and to get more information about the progress of cancer, studying the composition of TILs (Tumor Infiltration Lymphocytes) is the key. In vitro methods, including immunohistochemistry and flow cytometry, which deal with such problem, are always unbiased owing to series of experiments. Gene expression deconvolution is an alternative in silico method aims to analyze relative proportion of the concerned immune cells.
Microarray data shows gene expression profiles of 22 immune cells to construct a signature matrix which play an important role in deconvolution. Non-hematopoietic and cancer cells specific genes are first filtered out before selecting the signature genes. Further, T-test is applied for each gene between immune cells and condition number is used for determining number of genes being selected. Finally,
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