XMRF: an R package to fit Markov Networks to high-throughput genetics data

BACKGROUND: Technological advances in medicine have led to a rapid proliferation of high-throughput “omics” data. Tools to mine this data and discover disrupted disease networks are needed as they hold the key to understanding complicated interactions between genes, mutations and aberrations, and ep...

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Detalles Bibliográficos
Autores principales: Wan, Ying-Wooi, Allen, Genevera I., Baker, Yulia, Yang, Eunho, Ravikumar, Pradeep, Anderson, Matthew, Liu, Zhandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009817/
https://www.ncbi.nlm.nih.gov/pubmed/27586041
http://dx.doi.org/10.1186/s12918-016-0313-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009817/
https://www.ncbi.nlm.nih.gov/pubmed/27586041
http://dx.doi.org/10.1186/s12918-016-0313-0

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