parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants

BACKGROUND: Several prediction problems in computational biology and genomic medicine are characterized by both big data as well as a high imbalance between examples to be learned, whereby positive examples can represent a tiny minority with respect to negative examples. For instance, deleterious or...

Descripción completa

Detalles Bibliográficos
Autores principales: Petrini, Alessandro, Mesiti, Marco, Schubach, Max, Frasca, Marco, Danis, Daniel, Re, Matteo, Grossi, Giuliano, Cappelletti, Luca, Castrignanò, Tiziana, Robinson, Peter N, Valentini, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244787/
https://www.ncbi.nlm.nih.gov/pubmed/32444882
http://dx.doi.org/10.1093/gigascience/giaa052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244787/
https://www.ncbi.nlm.nih.gov/pubmed/32444882
http://dx.doi.org/10.1093/gigascience/giaa052

Ejemplares similares