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...

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Detalles Bibliográficos
Autores principales: Qiu, Yue, Lu, Tianhuan, Lim, Hansaim, Xie, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
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

Internet

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

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