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PALMO: Identify Intra and Inter-Donor Variations in Bulk or Single Cell Longitudinal Dataset
It is a platform for analyzing longitudinal data from bulk as well as single cell datasets. It allows to identify variations in molecular features within and across donors over longitudinal time points. The analysis can be done on bulk expression dataset without known cell type information or single cell with cell type/user-defined groups. It allows to infer stable and variable features in given donor and each cell type (or user defined group). The outlier analysis can be performed to identify technical/biological perturbed samples in donor/participant. Further, differential analysis can be performed to decipher time-wise changes in gene expression in a cell type.
Getting started
Browse package contents
Package details |
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| Author | Suhas Vasaikar [aut, cre], Aarthi Talla [aut, ctb], Xiaojun Li [aut, ctb] |
| Bioconductor views | DifferentialExpression GeneExpression SingleCell |
| Maintainer | Suhas Vasaikar <suhas.vasaikar@alleninstitute.org> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://github.com/aifimmunology/PALMO |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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