5日前 -The first step in a microarray data analysis is to read into R the intensity data for each array provided by an image analysis program. This is done using ...
2025/7/4 -July 4, 2025. Version 2.3.1. Title Gene Set Variation Analysis for Microarray and RNA-Seq Data. Depends R (>= 3.5.0). Imports methods, stats, utils, ...
2025/7/4 -TCGAimmunosurv is a freely available R package and utilizes and incorporates existing R/Bioconductor (Gentleman et al., 2004) packages and statistics to ...
2025/7/1 -arrayQualityMetrics–a bioconductor package for quality assessment of microarray data. ... miRBaseConverter: an R/Bioconductor package for converting and ...
2025/7/2 -The analysis shows a significant correlation (R = 0.66, P < 0.05), validating the DrugS model's predictive power using microarray data and its potential ...
4日前 -Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of ...
2025/7/8 -... microarray datasets, signatures of pathways frequently dysregulated in ... R/Bioconductor package for ChIP peak annotation, comparison and visualization.
2025/7/2 -The MultiAssayExperiment API for construction, access, subsetting, management, and reshaping to formats for application of R/Bioconductor graphics and analysis ...
2025/6/17 -The TMM size factors and the matrix of counts were then imported into the R/Bioconductor package Limma.32 Weighted likelihoods based on the observed mean ...
2025/7/5 -Applied to 12 high-dimensional microarray datasets, JBA outperformed 10 state ... db from the bioconductor module in R. 3. Performing the ANOVA test to ...