| Package Name | Access | Summary | Updated |
|---|---|---|---|
| bioconductor-xina | public | Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis | 2025-04-22 |
| bioconductor-rtnsurvival | public | Survival analysis using transcriptional networks inferred by the RTN package | 2025-04-22 |
| bioconductor-rtnduals | public | Analysis of co-regulation and inference of 'dual regulons' | 2025-04-22 |
| bioconductor-fletcher2013b | public | Master regulators of FGFR2 signalling and breast cancer risk | 2025-04-22 |
| bioconductor-rtn | public | RTN: Reconstruction of Transcriptional regulatory Networks and analysis of regulons | 2025-04-22 |
| bioconductor-diggitdata | public | Example data for the diggit package | 2025-04-22 |
| bioconductor-simulatorz | public | Simulator for Collections of Independent Genomic Data Sets | 2025-04-22 |
| bioconductor-readat | public | Functionality to Read and Manipulate SomaLogic ADAT files | 2025-04-22 |
| bioconductor-hireadsprocessor | public | Functions to process LM-PCR reads from 454/Illumina data | 2025-04-22 |
| r-imputelcmd | public | The package contains a collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR) mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR. | 2025-04-22 |
| bioconductor-diggit | public | Inference of Genetic Variants Driving Cellular Phenotypes | 2025-04-22 |
| bioconductor-usort | public | uSORT: A self-refining ordering pipeline for gene selection | 2025-04-22 |
| bioconductor-tweedeseqcountdata | public | RNA-seq count data employed in the vignette of the tweeDEseq package | 2025-04-22 |
| bioconductor-tpp | public | Analyze thermal proteome profiling (TPP) experiments | 2025-04-22 |
| bioconductor-tnt | public | Interactive Visualization for Genomic Features | 2025-04-22 |
| bioconductor-tmixclust | public | Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines | 2025-04-22 |
| bioconductor-tcgacrcmrna | public | TCGA CRC 450 mRNA dataset | 2025-04-22 |
| bioconductor-tcgacrcmirna | public | TCGA CRC 450 miRNA dataset | 2025-04-22 |
| bioconductor-txreginfra | public | Metadata management for multiomic specification of transcriptional regulatory networks | 2025-04-22 |
| bioconductor-tcseq | public | Time course sequencing data analysis | 2025-04-22 |
| bioconductor-tcgaworkflowdata | public | Data for TCGA Workflow | 2025-04-22 |
| bioconductor-summarizedbenchmark | public | Classes and methods for performing benchmark comparisons | 2025-04-22 |
| bioconductor-stager | public | stageR: stage-wise analysis of high throughput gene expression data in R | 2025-04-22 |
| bioconductor-slinky | public | Putting the fun in LINCS L1000 data analysis | 2025-04-22 |
| bioconductor-celaref | public | Single-cell RNAseq cell cluster labelling by reference | 2025-04-22 |
