PairGP: Gaussian process modeling of longitudinal data from paired multi-condition studies
Computers in Biology and Medicine(2022)
摘要
High-throughput technologies produce gene expression time-series data that need fast and specialized algorithms to be processed. While current methods already deal with different aspects, such as the non-stationarity of the process and the temporal correlation, they often fail to take into account the pairing among replicates.
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关键词
Gaussian processes,Gene expressions,Time-series,Pairing effect,Differential condition analysis
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