Research Catalog

Title

Gene regulatory networks : methods and protocols / edited by Guido Sanguinetti, Vân Anh Huynh-Thu.

Publication

• New York, NY : Humana Press ; Springer, [2019]
• ©2019

Items in the Library & Off-site

Details

Additional Authors

• Huynh-Thu, Vân Anh,
• Sanguinetti, Guido, 1974-

Description

xi, 430 pages; 27 cm.

Series Statement

Methods in molecular biology, 1029-6029 ; volume 1883

Uniform Title

Methods in molecular biology (Clifton, N.J.) ; v. 1883.

Subject

• Gene regulatory networks
• Transcription factors > Laboratory manuals

Bibliography (note)

• Includes bibliographical references and index.

Contents

Gene regulatory network inference : an introductory survey / Vân Anh Huynh-Thu and Guido Sanguinetti -- Statistical network inference for time-varying molecular data with dynamic bayesian networks / Frank Dondelinger and Sach Mukherjee -- Overview and evaluation of recent methods for statistical inference of gene regulatory networks from time series data / Marco Grzegorczyk, Andrej Aderhold and Dirk Husmeier -- Whole-transcriptome causal network inference with genomic and transcriptomic data / Lingfei Wang and Tom Michoel -- Causal queries from observational data in biological systems via bayesian networks : an empirical study in small networks / Alex White and Matthieu Vignes -- Multiattribute gaussian graphical model for inferring multiscale regulatory networks : an application in breast cancer / Julien Chiquet, Guillem Rigaill, and Martina Sundqvist -- Integrative approaches for inference of genome-scale gene regulatory networks / Alireza Fotuhi Siahpirani, Deborah Chasman, and Sushmita Roy -- Unsupervised gene network inference with decision trees and random forests / Vân Anh Huynh-Thu and Pierre Geurts -- Tree-based learning of regulatory network topologies and dynamics with jump3 / Vân Anh Huynh-Thu and Guido Sanguinetti -- Network inference from single-cell transcriptomic data / Helena Todorov, Robrecht Cannoodt, Wouter Saelens, and Yvan Saeys -- Inferring gene regulatory networks from multiple datasets / Christopher A. Penfold, Iulia Gherman, Anastasiya Sybirna, and David L. Wild -- Unsupervised GRN ensemble / Pau Bellot, Philippe Salembier, Ngoc C. Pham, and Patrick E. Meyer -- Learning differential module networks across multiple experimental conditions / Pau Erola, Eric Bonnet, and Tom Michoel -- Stability in GRN inference / Giuseppe Jurman, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, and Cesare Furlanello -- Gene regulatory networks : a primer in biological processes and statistical modelling / Olivia Angelin-Bonnet, Patrick J. Biggs and Matthieu Vignes -- Scalable inference of ordinary differential equation models of biochemical processes / Fabian Fröhlich, Carolin Loos, and Jan Hasenauer.

ISBN

• 9781493988815
• 1493988816
• 9781493988822 (canceled/invalid)

Owning Institutions

Princeton University Library