Gene Network Inference, Softcover reprint of the original 1st ed. 2013
Verification of Methods for Systems Genetics Data

Coordinator: Fuente Alberto

Language: English

Approximative price 158.24 €

In Print (Delivery period: 15 days).

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Gene Network Inference
Publication date:
Support: Print on demand

Approximative price 158.24 €

In Print (Delivery period: 15 days).

Add to cartAdd to cart
Gene Network Inference. Verification of Methods from Systems Genetics Data
Publication date:
130 p. · 15.5x23.5 cm · Hardback

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Simulation of the Benchmark Datasets.- A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context.- Benchmarking a simple yet effective approach for inferring gene regulatory networks from systems genetics data.- Differential Equation based reverse-engineering algorithms: pros and cons.- Gene regulatory network inference from systems genetics data using tree-based methods.- Extending partially known networks.- Integration of genetic variation as external perturbation to reverse engineer regulatory networks from gene expression data.- Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data.

Describes and evaluates recent methods for System Genetics data analysis

Critically evaluates various algorithms used to analyze Systems Genetics data

Put together in a community effort by the experts in the field

Includes supplementary material: sn.pub/extras