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基于模型的微阵列数据转录因子活性鉴定

Model based identification of transcription factor activity from microarray data
课程网址: http://videolectures.net/pmsb06_rogers_mbitf/  
主讲教师: Simon Rogers
开课单位: 格拉斯哥大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
随着高通量微阵列实验中基因表达数据量的增加, 人们对建立基因调控过程的数学模型产生了很大的兴趣。这类模型主要用于所谓的监管网络逆向工程;直接从微阵列数据推断可能的监管交互, 例如 [1–4]。通过使用微阵列数据, 所有这些技术都隐含了一个隐含的假设, 即转录因子 (tf) 编码的基因的 mrna 水平与基因靶点的 mrna 水平之间存在直接关系。
课程简介: With the increase in volume of gene expression data available from high throughput microarray experiments, much research interest has been directed at building mathematical models of the process of gene regulation. Such models have primarily been used for the so called reverse engineering of regulatory networks; inferring possible regulatory interactions directly from microarray data, for example [1–4]. By using microarray data, all of these techniques make the implicit assumption that there is a direct relationship between the level of mRNA of genes coding for transcription factors (TFs) and the mRNA levels of their gene-targets.
关 键 词: 生物信息学; 数学建模; 基因芯片数据
课程来源: 视频讲座网
最后编审: 2020-06-29:wuyq
阅读次数: 34