Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

BACKGROUND: The identification of genomic biomarkers is a key step towards improving diagnostic tests and therapies. We present a reference-free method for this task that relies on a k-mer representation of genomes and a machine learning algorithm that produces intelligible models. The method is com...

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Detalles Bibliográficos
Autores principales: Drouin, Alexandre, Giguère, Sébastien, Déraspe, Maxime, Marchand, Mario, Tyers, Michael, Loo, Vivian G., Bourgault, Anne-Marie, Laviolette, François, Corbeil, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037627/
https://www.ncbi.nlm.nih.gov/pubmed/27671088
http://dx.doi.org/10.1186/s12864-016-2889-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037627/
https://www.ncbi.nlm.nih.gov/pubmed/27671088
http://dx.doi.org/10.1186/s12864-016-2889-6

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