PROSE (PROfile Standardization Engine): An R package for standardized analysis of time-series profiles.
Creators
Description
The R package “PROSE” could be useful in situations where you have time-series data which had been previously analyzed, and thus you have decided in which neighboring time intervals the values are significantly different. In that case, given a vector of significance calls “d” (e.g., from previous analysis) and a vector of “values” (your time-series measurements), the function “prose(d, values)” summarizes the information available in an explicit model. It also provides a vector of means of the values that accounts for the significance contained in “d”, and a vector of standardized values.
Previously the algorithm in PROSE had been used in transcriptomics (RNA-Seq) to obtain "Standardized Expression Profiles" (called "SEP"s; please see the references).
Files
PROSEguide.pdf
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Additional details
Funding
- Center for Research and Advanced Studies of the National Polytechnic Institute
References
- Martinez, Octavio. 2022. "Time course gene expression experiments." In Transcriptome Profiling: Progress and Prospects, edited by Mohammad Ajmal Ali and Joongku Lee, 85–110. Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-323-91810-7.00014-5
- Escoto-Sandoval, Christian, Alan Flores, Felipe Cervantes-Hernandez, M. Humberto Reyes-Valdes, Neftali Ochoa-Alejo, and Octavio Martinez. 2021. "A method to analyze time expression profiles demonstrated in a database of chili pepper fruit development." Scientific Reports 11, no. 1 (June): 13181. https://doi.org/10.1038/s41598-021-92672-4