Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package

High-throughput, ‘omic’ methods provide sensitive measures of biological responses to perturbations. However, inherent biases in high-throughput assays make it difficult to interpret experiments in which more than one type of data is collected. In this work, we introduce Omics Integrator, a software...

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Detalles Bibliográficos
Autores principales: Tuncbag, Nurcan, Gosline, Sara J. C., Kedaigle, Amanda, Soltis, Anthony R., Gitter, Anthony, Fraenkel, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838263/
https://www.ncbi.nlm.nih.gov/pubmed/27096930
http://dx.doi.org/10.1371/journal.pcbi.1004879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838263/
https://www.ncbi.nlm.nih.gov/pubmed/27096930
http://dx.doi.org/10.1371/journal.pcbi.1004879

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