Analysis of Transcription Factors in Liver Cancer Using Microarray Data

• Main Authors: Jing-ru Liu, 劉靜汝
• Other Authors: Jorng-Tzong Horng
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/19858198016123782240

碩士 === 國立中央大學 === 系統生物與生物資訊研究所 === 99 === Liver cancer is the mostly death disease of cancer mortality in Taiwan. Analysis of gene regulation mechanism can help us understand in liver cancer. State of art gene regulation analysis uses high-throughput experiment method such as Microarray and system biology in analysis. Although microarray technology can generate gene expressions data of whole genome, the analysis still limited in sample number and array cost. Statistics can select genes that express differently between normal tissue and tumor tissue but will still limited in number of chips. Furthermore, analysis of common transcription factors regulated is also needed. In this work, we try to integrate multiple microarray chips and use statistic methods on the integrated data. First, we select similar liver cancer microarray experiments. Next, we try to integrate different array serious and establish statistic model. Last, we try to do transcription factor analysis to find possible TF related to liver cancer across all array serious selected. Though the integration will include huge amount of noise, it will also increase the chip number. If the chip number large enough, the gene list will still be good enough for regulation analysis. We develop a computer system which can join multiple chips and analysis the common transcription factors on those genes. Result shows that our gene list consistent with current known cancer related genes. Our result also shows lots of possible liver cancer related gene and transcription factors which can be later be verified.