A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from cDNA Microarray Data.
IEEE/ACM Trans Comput Biol Bioinform
; 12(6): 1457-63, 2015.
Article
en En
| MEDLINE
| ID: mdl-26671815
We predict housekeeping genes from replicate microarray gene expression data of human lymphoblastoid cells and liver tissue with outliers removed using a scoring scheme, by an algorithm based on statistical hypothesis testing, assuming that such genes are constitutively expressed. A few predicted genes were examined and found to be housekeeping.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Modelos Estadísticos
/
Análisis de Secuencia por Matrices de Oligonucleótidos
/
Genes Esenciales
/
Proteoma
/
Perfilación de la Expresión Génica
/
Modelos Genéticos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
ACM Trans Comput Biol Bioinform
Asunto de la revista:
BIOLOGIA
/
INFORMATICA MEDICA
Año:
2015
Tipo del documento:
Article
Pais de publicación:
Estados Unidos