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bioconductor-svmdo
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public |
Identification of Tumor-Discriminating mRNA Signatures via Support Vector Machines Supported by Disease Ontology
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2025-04-22 |
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bioconductor-cbnplot
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public |
plot bayesian network inferred from gene expression data based on enrichment analysis results
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2025-04-22 |
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bioconductor-cytoviewer
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public |
An interactive multi-channel image viewer for R
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2025-04-22 |
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bioconductor-ifaa
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public |
Robust Inference for Absolute Abundance in Microbiome Analysis
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2025-04-22 |
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bioconductor-top
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public |
TOP Constructs Transferable Model Across Gene Expression Platforms
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2025-04-22 |
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r-eztune
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public |
Contains two functions that are intended to make tuning supervised learning methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves optimizer to find the best set of tuning parameters. The user can choose the optimizer, the learning method, and if optimization will be based on accuracy obtained through validation error, cross validation, or resubstitution. The function eztune.cv will compute a cross validated error rate. The purpose of eztune_cv is to provide a cross validated accuracy or MSE when resubstitution or validation data are used for optimization because error measures from both approaches can be misleading.
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2025-04-22 |
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bioconductor-seqarchrplus
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public |
Downstream analyses of promoter sequence architectures and HTML report generation
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2025-04-22 |
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bioconductor-mariner
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public |
Mariner: Explore the Hi-Cs
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2025-04-22 |
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bioconductor-scfeatures
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public |
scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
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2025-04-22 |
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bioconductor-reusedata
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public |
Reusable and reproducible Data Management
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2025-04-22 |
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bioconductor-alabaster
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public |
Umbrella for the Alabaster Framework
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2025-04-22 |
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bioconductor-alabaster.spatial
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public |
Save and Load Spatial 'Omics Data to/from File
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2025-04-22 |
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bioconductor-alabaster.vcf
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public |
Save and Load Variant Data to/from File
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2025-04-22 |
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bioconductor-cytopipeline
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public |
Automation and visualization of flow cytometry data analysis pipelines
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2025-04-22 |
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bioconductor-outsplice
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public |
Comparison of Splicing Events between Tumor and Normal Samples
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2025-04-22 |
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bioconductor-escher
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public |
Unified multi-dimensional visualizations with Gestalt principles
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2025-04-22 |
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bioconductor-tdbasedufeadv
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public |
Advanced package of tensor decomposition based unsupervised feature extraction
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2025-04-22 |
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bioconductor-flowgate
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public |
Interactive Cytometry Gating in R
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2025-04-22 |
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bioconductor-pairedgsea
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public |
Paired DGE and DGS analysis for gene set enrichment analysis
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2025-04-22 |
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bioconductor-scarray.sat
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public |
Large-scale single-cell RNA-seq data analysis using GDS files and Seurat
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2025-04-22 |
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bioconductor-sgcp
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public |
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
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2025-04-22 |
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bioconductor-scrnaseqapp
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public |
A single-cell RNAseq Shiny app-package
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2025-04-22 |
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bioconductor-msquality
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public |
MsQuality - Quality metric calculation from Spectra and MsExperiment objects
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2025-04-22 |
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bioconductor-ahmassbank
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public |
MassBank Annotation Resources for AnnotationHub
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2025-04-22 |
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bioconductor-spatialomicsoverlay
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public |
Spatial Overlay for Omic Data from Nanostring GeoMx Data
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2025-04-22 |
