書目名稱 | Gene Regulatory Networks |
副標(biāo)題 | Methods and Protocol |
編輯 | Guido Sanguinetti,Van Anh Huynh-Thu |
視頻video | http://file.papertrans.cn/382/381955/381955.mp4 |
概述 | Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts |
叢書名稱 | Methods in Molecular Biology |
圖書封面 |  |
描述 | This volume explores recent techniques for the computational inference of gene regulatory networks (GRNs). The chapters in this book cover topics such as methods to infer GRNs from time-varying data; the extraction of causal information from biological data; GRN inference from multiple heterogeneous data sets; non-parametric and hybrid statistical methods; the joint inference of differential networks; and mechanistic models of gene regulation dynamics. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics, descriptions of recently developed methods for GRN inference, applications of these methods on real and/ or simulated biological data, and step-by-step tutorials on the usage of associated software tools..Cutting-edge and thorough, .Gene Regulatory Networks: Methods and Protocols. is an essential tool for evaluating the current research needed to further addressthe common challenges faced by specialists in this field.. |
出版日期 | Book 2019 |
關(guān)鍵詞 | Bayesian networks; Gaussian processes; data simulation; time series expression; single-cell transcriptom |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4939-8882-2 |
isbn_ebook | 978-1-4939-8882-2Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
issn_series | 1064-3745 |
copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 |