A new distribution family for microarray data
The traditional approach with microarray data has been to apply transformations that approximately normalize them, with the drawback of losing the original scale. The alternative standpoint taken here is to search for models that fit the data, characterized by the presence of negative values, preser...
Guardado en:
Autores principales: | Kelmansky, D.M., Ricci, L. |
---|---|
Formato: | JOUR |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_20763905_v6_n1_p_Kelmansky |
Aporte de: |
Ejemplares similares
-
A new distribution family for microarray data
Publicado: (2017) -
Robust estimators of accelerated failure time regression with generalized log-gamma errors
Publicado: (2017) -
Robust estimators of accelerated failure time regression with generalized log-gamma errors
por: Agostinelli, C., et al. -
Compound and Non Homogeneous Poisson Software Reliability Models
por: Barraza, Néstor Rubén
Publicado: (2010) -
Goodness-of-fit test for directional data
por: Boente, Graciela Lina, et al.
Publicado: (2014)