Prediction of outcome after ligation or thin film banding of extrahepatic shunts, based on plasma albumin concentration and hematologic expression of 8 target genes in 85 dogs
Krista vanBlokland‐Post et al · Oxford University Press · 2023
A de novo nonsense variant in the DMD gene associated with X‐linked dystrophin‐deficient muscular dystrophy in a cat
Acceso al recurso
Entrá al contenido desde la opción principal o elegí otra fuente disponible.
Material complementario disponible
Resumen
Descripción general del contenido del recurso.
Cómo citar
Elegí el formato que necesitás y copiá la referencia al portapapeles.
APA 7
al, K. V. E. (2023). Prediction of outcome after ligation or thin film banding of extrahepatic shunts, based on plasma albumin concentration and hematologic expression of 8 target genes in 85 dogs. https://doi.org/10.1111/jvim.16680
MLA
al, Krista vanBlokland‐Post et. "Prediction of outcome after ligation or thin film banding of extrahepatic shunts, based on plasma albumin concentration and hematologic expression of 8 target genes in 85 dogs." 2023. https://doi.org/10.1111/jvim.16680.
Chicago
al, Krista vanBlokland‐Post et. 2023. "Prediction of outcome after ligation or thin film banding of extrahepatic shunts, based on plasma albumin concentration and hematologic expression of 8 target genes in 85 dogs.". https://doi.org/10.1111/jvim.16680.
Harvard
al, K. V. E. 2023, Prediction of outcome after ligation or thin film banding of extrahepatic shunts, based on plasma albumin concentration and hematologic expression of 8 target genes in 85 dogs, Oxford University Press, available at: https://doi.org/10.1111/jvim.16680 [Accessed 28 Jun. 2026].
Detalles del recurso
Información bibliográfica útil para confirmar que se trata del material correcto.
- Título
- Prediction of outcome after ligation or thin film banding of extrahepatic shunts, based on plasma albumin concentration and hematologic expression of 8 target genes in 85 dogs
- Autor / colaboradores
- Krista vanBlokland‐Post et al
- Editorial
- Oxford University Press
- Año de publicación
- 2023
- ISSN
- 0891-6640
- ISSN
- 0891-6640
- Idioma
- eng
Materias
Explorá otros recursos relacionados a partir de estas materias.