| Package Name | Access | Summary | Updated |
|---|---|---|---|
| bioconductor-countsimqc | public | Compare Characteristic Features of Count Data Sets | 2025-04-22 |
| bioconductor-bloodcancermultiomics2017 | public | "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al. - experimental data and complete analysis | 2025-04-22 |
| bioconductor-mogsa | public | Multiple omics data integrative clustering and gene set analysis | 2025-04-22 |
| bioconductor-gsvadata | public | Data employed in the vignette of the GSVA package | 2025-04-22 |
| bioconductor-gcmapweb | public | A web interface for gene-set enrichment analyses | 2025-04-22 |
| bioconductor-gcmap | public | Tools for Connectivity Map-like analyses | 2025-04-22 |
| bioconductor-meshr | public | Tools for conducting enrichment analysis of MeSH | 2025-04-22 |
| bioconductor-attract | public | Methods to Find the Gene Expression Modules that Represent the Drivers of Kauffman's Attractor Landscape | 2025-04-22 |
| bioconductor-timeseriesexperiment | public | Analysis for short time-series data | 2025-04-22 |
| bioconductor-coseq | public | Co-Expression Analysis of Sequencing Data | 2025-04-22 |
| bioconductor-cemitool | public | Co-expression Modules identification Tool | 2025-04-22 |
| bioconductor-biocor | public | Functional similarities | 2025-04-22 |
| bioconductor-aucell | public | AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures) | 2025-04-22 |
| bioconductor-rrbsdata | public | An RRBS data set with 12 samples and 10,000 simulated DMRs | 2025-04-22 |
| bioconductor-outrider | public | OUTRIDER - OUTlier in RNA-Seq fInDER | 2025-04-22 |
| bioconductor-desubs | public | DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq expression experiments | 2025-04-22 |
| bioconductor-omicrexposome | public | Exposome and omic data associatin and integration analysis | 2025-04-22 |
| r-htscluster | public | A Poisson mixture model is implemented to cluster genes from high- throughput transcriptome sequencing (RNA-seq) data. Parameter estimation is performed using either the EM or CEM algorithm, and the slope heuristics are used for model selection (i.e., to choose the number of clusters). | 2025-04-22 |
| r-isva | public | Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, <doi: 10.1093/bioinformatics/btr171>). | 2025-04-22 |
| r-nbpseq | public | Negative Binomial (NB) models for two-group comparisons and regression inferences from RNA-Sequencing Data. | 2025-04-22 |
| bioconductor-hd2013sgi | public | Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping | 2025-04-22 |
| bioconductor-vidger | public | Create rapid visualizations of RNAseq data in R | 2025-04-22 |
| bioconductor-regionreport | public | Generate HTML or PDF reports for a set of genomic regions or DESeq2/edgeR results | 2025-04-22 |
| bioconductor-eegc | public | Engineering Evaluation by Gene Categorization (eegc) | 2025-04-22 |
| bioconductor-assign | public | Adaptive Signature Selection and InteGratioN (ASSIGN) | 2025-04-22 |
