Candidate gene prioritization by network analysis of differential expression using machine learning approaches

BACKGROUND: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available. Performing genetic studies frequently results in large lists of candidate genes of which only few can be followed up fo...

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Detalles Bibliográficos
Autores principales: Nitsch, Daniela, Gonçalves, Joana P, Ojeda, Fabian, de Moor, Bart, Moreau, Yves
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945940/
https://www.ncbi.nlm.nih.gov/pubmed/20840752
http://dx.doi.org/10.1186/1471-2105-11-460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945940/
https://www.ncbi.nlm.nih.gov/pubmed/20840752
http://dx.doi.org/10.1186/1471-2105-11-460

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