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Produktbild: Gene Regulatory Networks
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Gene Regulatory Networks Methods and Protocols

Aus der Reihe Methods in Molecular Biology
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163,99 € UVP 186,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.12.2018

Abbildungen

XI, 430 p. 114 illus., 71 illus. in color.

Herausgeber

Guido Sanguinetti + weitere

Verlag

Springer Us

Seitenzahl

430

Maße (L/B/H)

26/18,3/3 cm

Gewicht

1027 g

Auflage

18001 Auflage 1st edition 2019

Sprache

Englisch

ISBN

978-1-4939-8881-5

Beschreibung

Rezension

“The book covers a variety of computational and mathematical aspects related to the inference of gene regulatory networks. The style of the chapters seamlessly binds the comprehensive overview that recommended the book to junior researchers and the thorough description of topics, highlighting new direction of research, that would appeal to post-graduates and established researchers.” (Irina Ioana Mohorianu, zbMATH 1417.92005, 2019)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.12.2018

Abbildungen

XI, 430 p. 114 illus., 71 illus. in color.

Herausgeber

Verlag

Springer Us

Seitenzahl

430

Maße (L/B/H)

26/18,3/3 cm

Gewicht

1027 g

Auflage

18001 Auflage 1st edition 2019

Sprache

Englisch

ISBN

978-1-4939-8881-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Gene Regulatory Networks
  • Gene Regulatory Network Inference: An Introductory Survey.- Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks.- Overview and Evaluation of Recent Methods for Statistical Inference of Gene Regulatory Networks from Time Series Data.- Whole-Transcriptome Causal Network Inference with Genomic and Transcriptomic Data.- Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks.- A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer.- Integrative Approaches for Inference of Genome-Scale Gene Regulatory Networks.- Unsupervised Gene Network Inference with Decision Trees and Random Forests.- Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3.- Network Inference from Single-Cell Transcriptomic Data.- Inferring Gene Regulatory Networks from Multiple Datasets.- Unsupervised GRN Ensemble.- Learning Differential Module Networks across Multiple Experimental Conditions.- Stability in GRN Inference.- Gene Regulatory Networks: A Primer in Biological Processes and Statistical Modelling.- Scalable Inference of Ordinary Differential Equation Models of Biochemical Processes.