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Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts
Highthroughput cell-based assays with flow cytometric readout provide a powerful technique for identifying components of biologic pathways and their interactors. Interpretation of these large datasets requires effective computational methods. We present a new approach that includes data pre-processi...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779598/ https://www.ncbi.nlm.nih.gov/pubmed/16916453 http://dx.doi.org/10.1186/gb-2006-7-8-r77 |