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...

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Guardado en:
Detalles Bibliográficos
Publicado: 2017
Materias:
Combined maximum likelihood estimators
Data analysis
Gpower-normal
Microarrays
Pseudo-dispersion models
Truncated normal
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20763905_v6_n1_p_Kelmansky
http://hdl.handle.net/20.500.12110/paper_20763905_v6_n1_p_Kelmansky
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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