↓ Skip to main content
What is this page? Embed badge

Gene Network Inference

Overview of attention for book
Cover of 'Gene Network Inference'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Simulation of the Benchmark Datasets
  3. Altmetric Badge
    Chapter 2 A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context
  4. Altmetric Badge
    Chapter 3 Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetics Data
  5. Altmetric Badge
    Chapter 4 Differential Equation Based Reverse-Engineering Algorithms: Pros and Cons
  6. Altmetric Badge
    Chapter 5 Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods
  7. Altmetric Badge
    Chapter 6 Extending Partially Known Networks
  8. Altmetric Badge
    Chapter 7 Integration of Genetic Variation as External Perturbation to Reverse Engineer Regulatory Networks from Gene Expression Data
  9. Altmetric Badge
    Chapter 8 Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data
Attention for Chapter 7: Integration of Genetic Variation as External Perturbation to Reverse Engineer Regulatory Networks from Gene Expression Data
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Integration of Genetic Variation as External Perturbation to Reverse Engineer Regulatory Networks from Gene Expression Data
Chapter number 7
Book title
Gene Network Inference
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-45161-4_7
Book ISBNs
978-3-64-245160-7, 978-3-64-245161-4
Authors

Francesco Sambo, Tiziana Sanavia, Barbara Di Camillo

Editors

Alberto de la Fuente

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Engineering 2 67%
Materials Science 1 33%

This page is provided by Altmetric.