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A Bayesian approach to accurate and robust signature detection on LINCS L1000 data
MOTIVATION: LINCS L1000 dataset contains numerous cellular expression data induced by large sets of perturbagens. Although it provides invaluable resources for drug discovery as well as understanding of disease mechanisms, the existing peak deconvolution algorithms cannot recover the accurate expres...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203754/ https://www.ncbi.nlm.nih.gov/pubmed/32003771 http://dx.doi.org/10.1093/bioinformatics/btaa064 |