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Denoising large-scale biological data using network filters
BACKGROUND: Large-scale biological data sets are often contaminated by noise, which can impede accurate inferences about underlying processes. Such measurement noise can arise from endogenous biological factors like cell cycle and life history variation, and from exogenous technical factors like sam...
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| Veröffentlicht in: | BMC Bioinformatics |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7992843/ https://ncbi.nlm.nih.gov/pubmed/33765911 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04075-x |
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