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

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.

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