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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...
Autores principales: | Nitsch, Daniela, Gonçalves, Joana P, Ojeda, Fabian, de Moor, Bart, Moreau, Yves |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
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 |
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