2024/6/11 -Bioconductor version: Release (3.19). Data analysis, linear models and differential expression for microarray and RNA-seq data.
6日前 -The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and ...
3日前 -Adaptive Gene Picking for Microarray Expression Data Analysis. Bioconductor version: 3.0. Functions to Analyze Microarray (Gene Expression) Data. Author: Brian ...
1日前 -Bioconductor is an open source and open development software project for computation biology, based on R programming Language see “Relevant Websites section”.
2日前 -Bioconductor is a comprehensive project that provides tools for the analysis and comprehension of high-throughput genomic data. Built on the R programming ...
2日前 -Multivariate data analysis and graphical display of microarray data. Functions include between group analysis and coinertia analysis. It contains functions that ...
2024/6/20 -This package is devoted to analyzing high-throughput data (e.g. gene expression microarray, DNA methylation microarray, RNA-seq) from complex tissues. Current ...
2024/6/19 -coexnet: An R package to build CO-EXpression NETworks from Microarray Data. Bioconductor version: 3.8. Extracts the gene expression matrix from GEO DataSets ...
2024/6/9 -In rcastelo/GSVA: Gene Set Variation Analysis for Microarray and RNA-Seq Data ... R Packages. CRAN packages Bioconductor packages R-Forge packages GitHub packages ...
2024/6/20 -Still further packages might be found on Bioconductor, R-Forge, and GitHub. ... Microarray or other continuous expression data. Quality control and ...