PROSE (PROfile Standardization Engine): An R package for standardized analysis of time-series profiles
Programa de cómputo
Te invitamos a leer el artículo "PROSE (PROfile Standardization Engine): An R package for standardized analysis of time-series profiles" publicado en Zenodo (public software repository) a cargo del profesor investigador Dr. Octavio Martínez y su equipo de trabajo de la UGA.
Autores: Dr. Octavio Martínez
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Laboratorio de Biología Computacional, Unidad de Genómica Avanzada (UGA) del Centro de Investigación y de Estudios Avanzados del IPN, Irapuato México.
Felicitamos al profesor que contribuyó en esta investigación por su arduo trabajo.
Summary:
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).