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

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

Abstract 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. H...

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Bibliographic Details
Main Authors: Nadav Bar, Bahareh Nikparvar, Naresh Doni Jayavelu, Fabienne Krystin Roessler
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Bioinformatics
Subjects:
Gene expression data
Fourier transform
Noise
k-means Clustering
Network component analysis
Time-Series data
Online Access:https://doi.org/10.1186/s12859-022-04839-z

Internet

https://doi.org/10.1186/s12859-022-04839-z

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