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- W4361005988 abstract "Longitudinal bulk and single-cell omics data is increasingly generated for biological and clinical research but is challenging to analyze due to its many intrinsic types of variations. We present PALMO ( https://github.com/aifimmunology/PALMO ), a platform that contains five analytical modules to examine longitudinal bulk and single-cell multi-omics data from multiple perspectives, including decomposition of sources of variations within the data, collection of stable or variable features across timepoints and participants, identification of up- or down-regulated markers across timepoints of individual participants, and investigation on samples of same participants for possible outlier events. We have tested PALMO performance on a complex longitudinal multi-omics dataset of five data modalities on the same samples and six external datasets of diverse background. Both PALMO and our longitudinal multi-omics dataset can be valuable resources to the scientific community." @default.
- W4361005988 created "2023-03-30" @default.
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- W4361005988 date "2023-03-27" @default.
- W4361005988 modified "2023-10-10" @default.
- W4361005988 title "A comprehensive platform for analyzing longitudinal multi-omics data" @default.
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- W4361005988 doi "https://doi.org/10.1038/s41467-023-37432-w" @default.
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