Gene Regulatory Networks : Methods and Protocols

Vân Anh Huynh-Thu

ISBN 10: 1493988816 / ISBN 13: 9781493988815

Published by Springer New York, Springer US, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781493988815

Bibliographic Details

• Title: Gene Regulatory Networks : Methods and Protocols
• Publisher: Springer New York, Springer US
• Publication Date: 2018
• Language: English
• ISBN 10: 1493988816
• ISBN 13: 9781493988815
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 30D millimeters 260 millimeters width by 183 millimeters height by 30 millimeters depth
• Weight: 1027 grams

About this title

Synopsis

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.