<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>lusystemsbio.r-universe.dev</title><link>https://lusystemsbio.r-universe.dev</link><description>Recent package updates in lusystemsbio</description><generator>R-universe</generator><image><url>https://github.com/lusystemsbio.png</url><title>R packages by lusystemsbio</title><link>https://lusystemsbio.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 12:50:00 GMT</lastBuildDate><item><title>[bioc] sRACIPE 2.5.0</title><author>m.lu@northeastern.edu (Mingyang Lu)</author><description>sRACIPE implements a randomization-based method for gene
circuit modeling. It allows us to study the effect of both the
gene expression noise and the parametric variation on any gene
regulatory circuit (GRC) using only its topology, and simulates
an ensemble of models with random kinetic parameters at
multiple noise levels. Statistical analysis of the generated
gene expressions reveals the basin of attraction and stability
of various phenotypic states and their changes associated with
intrinsic and extrinsic noises. sRACIPE provides a holistic
picture to evaluate the effects of both the stochastic nature
of cellular processes and the parametric variation.</description><link>https://github.com/r-universe/bioc/actions/runs/39020047779</link><pubDate>Tue, 28 Apr 2026 12:50:00 GMT</pubDate><r:package>sRACIPE</r:package><r:version>2.5.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/sRACIPE</r:upstream><r:article><r:source>sRACIPE.Rmd</r:source><r:filename>sRACIPE.html</r:filename><r:title>A systems biology tool for gene regulatory circuit simulation</r:title><r:created>2019-03-29 18:28:20</r:created><r:modified>2025-02-25 03:41:40</r:modified></r:article></item></channel></rss>