Article

Shape-constrained, changepoint additive models for time series omics data with cpam

2024-12-23

Abstract excerpt

Time series omics experiments are critical for the study of a wide range of biological processes such as cell differentiation and developmental programs or responses to pathogens and environmental cues. While statistical tools for differential analysis across static conditions have matured, comparable comprehensive methodology is lacking for time series data. Here, we introduce cpam , a novel time series method a...

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Identifiers and source

Literature Corpus work: 8337db24-3a7e-5dfa-b824-a21b29f1642e
DOI: 10.1101/2024.12.22.630003

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