Constrained Fourier estimation of short-term time-series gene expression data reduces noise and improves clustering and gene regulatory network predictions

BACKGROUND: Biological data suffers from noise that is inherent in the measurements. This is particularly true for time-series gene expression measurements. Nevertheless, in order to to explore cellular dynamics, scientists employ such noisy measurements in predictive and clustering tools. However,...

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Detalles Bibliográficos
Autores principales: Bar, Nadav, Nikparvar, Bahareh, Jayavelu, Naresh Doni, Roessler, Fabienne Krystin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364503/
https://www.ncbi.nlm.nih.gov/pubmed/35945515
http://dx.doi.org/10.1186/s12859-022-04839-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364503/
https://www.ncbi.nlm.nih.gov/pubmed/35945515
http://dx.doi.org/10.1186/s12859-022-04839-z

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