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BatchI: Batch effect Identification in high-throughput screening data using a dynamic programming algorithm
MOTIVATION: In contemporary biological experiments, bias, which interferes with the measurements, requires attentive processing. Important sources of bias in high-throughput biological experiments are batch effects and diverse methods towards removal of batch effects have been established. These inc...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546123/ https://www.ncbi.nlm.nih.gov/pubmed/30357412 http://dx.doi.org/10.1093/bioinformatics/bty900 |