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转录调控模型的最小二乘估计

Least squares estimation of a transcription regulation model
课程网址: http://videolectures.net/pmnp07_niranjan_lse/  
主讲教师: Mahesan Niranjan
开课单位: 谢菲尔德大学
开课时间: 2007-09-05
课程语种: 英语
中文简介:
转录因子调节其靶基因活性的方式非常令人感兴趣。一些作者最近使用基于模型的计算方法从高通量基因表达数据中推断出转录因子蛋白的浓度([1 3,6 7]。在这里,我提出了一种明确用于模拟周期性生物现象的方法,以及最小二乘框架这样的计算策略可用于使用受单个转录因子调节的基因推断蛋白质水平的转录因子活性水平,然后解释受调控的基因的“转录逻辑”。多种转录因子的联合作用。
课程简介: The way transcription factors regulate the activity of their target genes is of much interest. Several authors have recently used model based computational approaches to infer concentrations of transcription factor proteins from high throughput gene expression data ([1-3,6-7]. Here, I present an approach explicitly formulated to model periodic biological phenomena, and a least squares framework for parameter estimation of such a model. Such a computational strategy can be used to infer levels of transcription factor activities at the protein level using genes that are regulated by single transcription factors, and then to decipher “transcriptional logic” of genes under regulation by the comboined actions of multiple transcription factors.
关 键 词: 转录因子; 靶基因; 最小二乘框架
课程来源: 视频讲座网
最后编审: 2020-01-13:chenxin
阅读次数: 56