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A pedagogical walkthrough ofcomputational modeling and simulation of Wnt signaling pathway using static causalmodels in MATLAB

机译:的教学演练静态因果关系的Wnt信号通路计算建模与仿真MATLAB中的模型

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摘要

Simulation study in systems biology involving computational experiments dealing with Wnt signaling pathways abound in literature but often lack a pedagogical perspective that might ease the understanding of beginner students and researchers in transition, who intend to work on the modeling of the pathway. This paucity might happen due to restrictive business policies which enforce an unwanted embargo on the sharing of important scientific knowledge. A tutorial introduction to computational modeling of Wnt signaling pathway in a human colorectal cancer dataset using static Bayesian network models is provided. The walkthrough might aid biologists/informaticians in understanding the design of computational experiments that is interleaved with exposition of the Matlab code and causal models from Bayesian network toolbox. The manuscript elucidates the coding contents of the advance article by Sinha (Integr. Biol. 6:1034–1048, 2014) and takes the reader in a step-by-step process of how (a) the collection and the transformation of the available biological information from literature is done, (b) the integration of the heterogeneous data and prior biological knowledge in the network is achieved, (c) the simulation study is designed, (d) the hypothesis regarding a biological phenomena is transformed into computational framework, and (e) results and inferences drawn using d-connectivity/separability are reported. The manuscriptfinally ends with a programming assignment to help the readers get hands-onexperience of a perturbation project. Description of Matlab files is made available under GNU GPL v3 license at the Googlecode project on and href="https://sites.google.com/site/shriprakashsinha/shriprakashsinha/projects/static-bn-for-wnt-signaling-pathway" data-ga-action="click_feat_suppl" ref="reftype=extlink&article-id=4977324&issue-id=285918&journal-id=495&FROM=Article%7CFront%20Matter&TO=External%7CLink%7CURI" target="_blank">https://sites.google.com/site/shriprakashsinha/shriprakashsinha/projects/static-bn-for-wnt-signaling-pathway. Latest updates can be found in the latter website.
机译:系统生物学中的模拟研究涉及处理Wnt信号通路的计算实验,文献上比比皆是,但常常缺乏教学法的观点,这可能会使初学者和过渡研究人员的理解变得容易,他们打算对通路进行建模。这种稀缺性可能是由于限制性商业政策而实施的,这些政策对共享重要的科学知识实施了不必要的禁运。提供了使用静态贝叶斯网络模型对人结肠直肠癌数据集中Wnt信号通路进行计算建模的教程介绍。本演练可能有助于生物学家/信息学家理解与贝叶斯网络工具箱中的Matlab代码和因果模型的阐述交织在一起的计算实验的设计。该手稿阐明了Sinha撰写的高级文章的编码内容(Integr。Biol。6:1034-1048,2014),并逐步引导读者了解(a)如何收集和转换现有的完成了来自文献的生物学信息,(b)实现了网络中异构数据与先验生物学知识的集成,(c)设计了模拟研究,(d)关于生物学现象的假设被转化为计算框架, (e)报告了使用d-连通性/可分离性得出的结果和推论。手稿最后以编程任务结束,以帮助读者动手实践摄动项目的经验。 Google已根据GNU GPL v3许可证提供了Matlab文件的说明和href =“ https://sites.google.com/site/shriprakashsinha/shriprakashsinha/projects/static-bn-for-wnt-signaling-pathway”上的代码项目“ data-ga-action =” click_feat_suppl“ ref = “ reftype = extlink&article-id = 4977324&issue-id = 285918&journal-id = 495&FROM = Article%7CFront%20Matter&TO = External%7CLink%7CURI” target =“ _ blank”> https://sites.google.com/site/shriprakashsinha/shriprakashsinha/projects/static-bn-for-wnt-signaling-pathway 。最新更新可在后者网站中找到。

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