Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.
Int J Comput Biol Drug Des
; 4(2): 194-215, 2011.
Article
en En
| MEDLINE
| ID: mdl-21712568
ABSTRACT
Most phenotype-identification methods in cell-based screening assume prior knowledge about expected phenotypes or involve intricate parameter-setting. They are useful for analysis targeting known phenotype properties; but need exists to explore, with minimum presumptions, the potentially-interesting phenotypes derivable from data. We present a method for this exploration, using clustering to eliminate phenotype-labelling requirement and GUI visualisation to facilitate parameter-setting. The steps are outlier-removal, cell clustering and interactive visualisation for phenotypes refinement. For drug-siRNA study, we introduce an auto-merging procedure to reduce phenotype redundancy. We validated the method on two Golgi apparatus screens and showcase its contribution for better understanding of screening-images.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
ARN Interferente Pequeño
/
Evaluación Preclínica de Medicamentos
Tipo de estudio:
Diagnostic_studies
/
Screening_studies
Límite:
Humans
Idioma:
En
Revista:
Int J Comput Biol Drug Des
Asunto de la revista:
BIOLOGIA
/
FARMACOLOGIA
Año:
2011
Tipo del documento:
Article
País de afiliación:
Singapur