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bioconductor-cemitool
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public |
Co-expression Modules identification Tool
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2025-04-22 |
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bioconductor-biocor
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public |
Functional similarities
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2025-04-22 |
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bioconductor-aucell
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public |
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures)
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2025-04-22 |
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bioconductor-rrbsdata
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public |
An RRBS data set with 12 samples and 10,000 simulated DMRs
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2025-04-22 |
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bioconductor-outrider
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public |
OUTRIDER - OUTlier in RNA-Seq fInDER
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2025-04-22 |
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bioconductor-desubs
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public |
DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq expression experiments
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2025-04-22 |
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bioconductor-omicrexposome
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public |
Exposome and omic data associatin and integration analysis
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2025-04-22 |
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r-htscluster
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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).
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2025-04-22 |
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r-isva
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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>).
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2025-04-22 |
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r-nbpseq
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public |
Negative Binomial (NB) models for two-group comparisons and regression inferences from RNA-Sequencing Data.
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2025-04-22 |
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bioconductor-hd2013sgi
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public |
Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping
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2025-04-22 |
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bioconductor-vidger
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public |
Create rapid visualizations of RNAseq data in R
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2025-04-22 |
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bioconductor-regionreport
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public |
Generate HTML or PDF reports for a set of genomic regions or DESeq2/edgeR results
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2025-04-22 |
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bioconductor-eegc
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public |
Engineering Evaluation by Gene Categorization (eegc)
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2025-04-22 |
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bioconductor-assign
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public |
Adaptive Signature Selection and InteGratioN (ASSIGN)
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2025-04-22 |
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r-smartsva
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public |
Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.
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2025-04-22 |
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bioconductor-diffcoexp
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public |
Differential Co-expression Analysis
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2025-04-22 |
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bioconductor-kissde
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public |
Retrieves Condition-Specific Variants in RNA-Seq Data
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2025-04-22 |
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bioconductor-impulsede2
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public |
Differential expression analysis of longitudinal count data sets
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2025-04-22 |
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bioconductor-gdcrnatools
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public |
GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, mRNA, and miRNA data in GDC
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2025-04-22 |
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bioconductor-erssa
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public |
Empirical RNA-seq Sample Size Analysis
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2025-04-22 |
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bioconductor-anota2seq
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public |
Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq
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2025-04-22 |
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bioconductor-scone
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public |
Single Cell Overview of Normalized Expression data
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2025-04-22 |
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bioconductor-msgbsr
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public |
msgbsR: methylation sensitive genotyping by sequencing (MS-GBS) R functions
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2025-04-22 |
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bioconductor-imetagene
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public |
A graphical interface for the metagene package
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2025-04-22 |
