https://bfzede.r-universe.devRecent package updates in bfzedeR-universehttps://github.com/bfzede.pnghttps://bfzede.r-universe.devSun, 24 May 2026 02:15:00 GMTbfzede@gmail.com (Chen Peng)Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.https://github.com/r-universe/asa12138/actions/runs/37304897425Sun, 24 May 2026 02:15:00 GMTMetaNet0.3.1successhttps://asa12138.r-universe.devhttps://github.com/asa12138/metanetMetaNet.RmdMetaNet.htmlMetaNet: Network Analysis for Omics Data2023-06-25 04:39:392024-03-21 08:01:19bfzede@gmail.com (Chen Peng)Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore', along with comprehensive visualization methods and pathway databases. 'GRSA' is a threshold-free method that works well with all types of biomedical features, such as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports multi-group and longitudinal experimental designs, because of the included multi-group-compatible statistical methods.https://github.com/r-universe/asa12138/actions/runs/36842783453Tue, 28 Apr 2026 08:50:35 GMTReporterScore0.2.6successhttps://asa12138.r-universe.devhttps://github.com/asa12138/reporterscoreReporterScore.RmdReporterScore.htmlReporterScore2023-06-21 08:42:122024-03-20 17:26:41bfzede@gmail.com (Chen Peng)Provides a comprehensive suite of tools for analyzing omics data. It includes functionalities for alpha diversity analysis, beta diversity analysis, differential abundance analysis, community assembly analysis, visualization of phylogenetic tree, and functional enrichment analysis. With a progressive approach, the package offers a range of analysis methods to explore and understand the complex communities. It is designed to support researchers and practitioners in conducting in-depth and professional omics data analysis.https://github.com/r-universe/asa12138/actions/runs/36687590925Fri, 03 Apr 2026 08:03:14 GMTpctax0.1.8successhttps://asa12138.r-universe.devhttps://github.com/asa12138/pctaxpctax.Rmdpctax.htmlQuick start: pctax2023-06-20 16:07:222024-04-06 13:18:46