StatSeq Systems Genetics Benchmark

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dc.contributor.authorPinna, Andrea
dc.contributor.authorSoranzo, Nicola
dc.contributor.authorHoeschele, Ina
dc.contributor.authorde la Fuente, Alberto
dc.date.accessioned2014-05-13T06:58:34Z
dc.date.available2014-05-13T06:58:34Z
dc.date.issued2012
dc.descriptionDescription of published synthetic Systems Genetics datasets.IT
dc.description.abstractThe StatSeq benchmark dataset is meant to be used for training and evaluating algorithms and techniques for the inference of networks from systems genetics data. The goal is to comprehend which methodology has the best overall inferring performance, and which eventually performs better under particular conditions (i.e. population size, large or small marker distances, high or low heritability, network size). This short document describes how the data have been generated through SysGenSIM. Detailed information is provided about the construction of the gene networks, the simulation of the genotype and of the gene expression, and the submission and evaluation of the predictions.IT
dc.identifier.urihttp://hdl.handle.net/11050/884
dc.language.isoenIT
dc.subjectsystems geneticsIT
dc.subjectnetwork inferenceIT
dc.subjectSysGenSIMIT
dc.subject.een-cordisEEN CORDIS::ELETTRONICA, INFORMATICA E TELECOMUNICAZIONI::IT e applicazioni telematiche::Applicazioni per la saluteIT
dc.subject.een-cordisEEN CORDIS::SCIENZE BIOLOGICHE ::Ricerca sul genoma ::BioinformaticaIT
dc.subject.programProgram::Biomedicine::Bioinformatics (BI)IT
dc.titleStatSeq Systems Genetics BenchmarkIT
dc.typeReportIT
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