Gene regulatory networks : methods and protocols /
Saved in:
| Imprint: | New York, N.Y. : Humana Press : Springer, [2018] ©2019 |
|---|---|
| Description: | 1 online resource (xi, 430 pages) : illustrations (some color) |
| Language: | English |
| Series: | Methods in molecular biology, 1029-6029 ; volume 1883 Methods in molecular biology (Clifton, N.J.) ; v. 1883. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11761453 |
Table of 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.