CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks

BACKGROUND: Predication of gene regularity network (GRN) from expression data is a challenging task. There are many methods that have been developed to address this challenge ranging from supervised to unsupervised methods. Most promising methods are based on support vector machine (SVM). There is a...

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Detalles Bibliográficos
Autores principales: Gillani, Zeeshan, Akash, Muhammad Sajid Hamid, Rahaman, MD Matiur, Chen, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260380/
https://www.ncbi.nlm.nih.gov/pubmed/25433465
http://dx.doi.org/10.1186/s12859-014-0395-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260380/
https://www.ncbi.nlm.nih.gov/pubmed/25433465
http://dx.doi.org/10.1186/s12859-014-0395-x

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