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Learning transcriptional networks from the integration of ChIP–chip and expression data in a non-parametric model

机译：通过非参数模型中的ChIP芯片和表达数据集成来学习转录网络

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摘要

Results: We have developed LeTICE (Learning Transcriptional networks from the Integration of ChIP–chip and Expression data), an algorithm for learning a transcriptional network from ChIP–chip and expression data. The network is specified by a binary matrix of transcription factor (TF)–gene interactions partitioning genes into modules and a background of genes that are not involved in the transcriptional regulation. We define a likelihood of a network, and then search for the network optimizing the likelihood.

机译：结果：我们开发了LeTICE（从ChIP芯片和表达数据的集成中学习转录网络），一种从ChIP芯片和表达数据中学习转录网络的算法。该网络由转录因子（TF）的二元矩阵指定-基因相互作用将基因分为模块和不参与转录调控的基因背景。我们定义网络的可能性，然后搜索优化可能性的网络。

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Youn, Ahrim; Reiss, David J.; Stuetzle, Werner;
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年度 2010
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专利

1. Learning transcriptional networks from the integration of ChIP-chip and expression data in a non-parametric model [J] . Youn Ahrim, Reiss David J., Stuetzle Werner . Bioinformatics . 2010,第15期

机译：在非参数模型中从ChIP芯片和表达数据的集成中学习转录网络
2. Learning transcriptional networks from the integration of ChIP–chip and expression data in a non-parametric model [J] . Werner Stuetzle Bioinformatics . 2010,第15期

机译：通过非参数模型中的ChIP芯片和表达数据集成来学习转录网络
3. Computational approaches to the integration of gene expression, ChIP-chip and sequence data in the inference of gene regulatory networks [J] . Cooke E.J., Savage R.S., Wild D.L. Seminars in cell and developmental biology . 2009,第7期

机译：在基因调节网络推断中整合基因表达，ChIP芯片和序列数据的计算方法
4. Simple modeling expressions for substrate network of on-chip inductors [C] . Lai, I.C.H., Fujishima, . 2005

机译：片上电感器衬底网络的简单建模表达式
5. Modeling and Analysis of Multiple Alignments, ChIP-seq, and Gene Expression Data for Finding Transcription Factor Binding Sites. [D] . Chen, Gong. 2010

机译：多重比对，ChIP-seq和基因表达数据的建模和分析，用于查找转录因子结合位点。
6. Learning transcriptional networks from the integration of ChIP–chip and expression data in a non-parametric model [O] . Ahrim Youn, David J. Reiss, Werner Stuetzle -1

机译：通过非参数模型中的ChIP芯片和表达数据集成来学习转录网络
7. Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data [O] . Xiangdong Liu, Walter J Jessen, Siva Sivaganesan, 2007

机译：通过联合建模基因表达和ChIP芯片数据来发现转录模块的贝叶斯分层模型
8. Learning to Classify Map Data with Cascaded VLSI Neural Network Building Block Chips [R] . Brown, T. X., Duong, T., Eberhardt, S. P., 1993

机译：学习用级联VLsI神经网络构建块芯片对地图数据进行分类

Learning transcriptional networks from the integration of ChIP–chip and expression data in a non-parametric model

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