#98303Bioconductor Matrixqcvis
bioMate-AI/biomate-bioconductor-kb
Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval.
98,398 skills
bioMate-AI/biomate-bioconductor-kb
Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval.
bioMate-AI/biomate-bioconductor-kb
Microbiome time series simulation with generalized Lotka-Volterra model, Self-Organized Instability (SOI), and other models.
bioMate-AI/biomate-bioconductor-kb
Tools to analyze & visualize Illumina Infinium methylation arrays.
bioMate-AI/biomate-bioconductor-kb
mirTarRnaSeq R package can be used for interactive mRNA miRNA sequencing statistical analysis.
bioMate-AI/biomate-bioconductor-kb
This package is a implementation of biclustering ensemble method MoSBi (Molecular signature Identification from Biclustering).
bioMate-AI/biomate-bioconductor-kb
MSA2dist calculates pairwise distances between all sequences of a DNAStringSet or a AAStringSet using a custom score matrix and conducts codon based analysis.
bioMate-AI/biomate-bioconductor-kb
Mass spectrometry (MS) data backend supporting import and export of MS/MS library spectra from MassBank record files.
bioMate-AI/biomate-bioconductor-kb
The MsDataHub package uses the ExperimentHub infrastructure to distribute raw mass spectrometry data files, peptide spectrum matches or quantitative data from proteomics and metabolomics experiments.
bioMate-AI/biomate-bioconductor-kb
MSnbase provides infrastructure for manipulation, processing and visualisation of mass spectrometry and proteomics data, ranging from raw to quantitative and annotated data.
bioMate-AI/biomate-bioconductor-kb
Tools for LiP peptide and protein significance analysis. An agent skill from bioMate-AI/biomate-bioconductor-kb.
bioMate-AI/biomate-bioconductor-kb
Save MultiAssayExperiments to h5mu files supported by muon and mudata.
bioMate-AI/biomate-bioconductor-kb
NanoTube includes functions for the processing, quality control, analysis, and visualization of NanoString nCounter data.
bioMate-AI/biomate-bioconductor-kb
Method for scalable identification of spatially variable genes (SVGs) in spatially-resolved transcriptomics data.
bioMate-AI/biomate-bioconductor-kb
omicsViewer visualizes ExpressionSet (or SummarizedExperiment) in an interactive way.
bioMate-AI/biomate-bioconductor-kb
This packages provides C++ header files for developers wishing to create R packages that processes BAM files.
bioMate-AI/biomate-bioconductor-kb
The ORFhunteR package is a R and C++ library for an automatic determination and annotation of open reading frames (ORF) in a large set of RNA molecules.
bioMate-AI/biomate-bioconductor-kb
PhIPData defines an S4 class for phage-immunoprecipitation sequencing (PhIP-seq) experiments.
bioMate-AI/biomate-bioconductor-kb
This package implements a suite of methods to preprocess data from PTR-TOF-MS instruments (HDF5 format) and generates the 'sample by features' table of peak intensities in addition to the sample and…
bioMate-AI/biomate-bioconductor-kb
Seamlessly interfaces the Basic Local Alignment Search Tool (BLAST) to search genetic sequence data bases.
bioMate-AI/biomate-bioconductor-kb
The R implementation for the Grammar of Succint Lipid Nomenclature parses different short hand notation dialects for lipid names.
bioMate-AI/biomate-bioconductor-kb
This package performs differential pattern analysis for Ribo-seq data.
bioMate-AI/biomate-bioconductor-kb
A set of tools for working with miRNA affinity models (KdModels), efficiently scanning for miRNA binding sites, and predicting target repression.
bioMate-AI/biomate-bioconductor-kb
The package comprises a set of pretrained machine learning models to predict basic immune cell types.
bioMate-AI/biomate-bioconductor-kb
Provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files.
bioMate-AI/biomate-bioconductor-kb
A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control and visualization.
bioMate-AI/biomate-bioconductor-kb
A robust and outlier-aware method for testing differential tissue composition from single-cell data.
bioMate-AI/biomate-bioconductor-kb
We present a statistical simulator, scDesign3, to generate realistic single-cell and spatial omics data, including various cell states, experimental designs, and feature modalities, by learning…
bioMate-AI/biomate-bioconductor-kb
Implements miscellaneous functions for interpretation of single-cell RNA-seq data.
bioMate-AI/biomate-bioconductor-kb
A post hoc cell type classification tool to fine-tune cell type annotations generated by any cell type classification procedure with semi-supervised learning algorithm AdaSampling technique.
bioMate-AI/biomate-bioconductor-kb
sechm provides a simple interface between SummarizedExperiment objects and the ComplexHeatmap package.
bioMate-AI/biomate-bioconductor-kb
SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks.
bioMate-AI/biomate-bioconductor-kb
SimBu can be used to simulate bulk RNA-seq datasets with known cell type fractions.
bioMate-AI/biomate-bioconductor-kb
Image segmentation is the process of identifying the borders of individual objects (in this case cells) within an image.
bioMate-AI/biomate-bioconductor-kb
Defines a S4 class for storing data from single-cell experiments.
bioMate-AI/biomate-bioconductor-kb
SpatialDE is a method to find spatially variable genes (SVG) from spatial transcriptomics data.
bioMate-AI/biomate-bioconductor-kb
The analysis and visualization of alternative splicing (AS) events from RNA sequencing data remains challenging.
bioMate-AI/biomate-bioconductor-kb
SpotClean is a computational method to adjust for spot swapping in spatial transcriptomics data.
bioMate-AI/biomate-bioconductor-kb
Spatially-aware quality control (QC) software for both spot-level and artifact-level QC in spot-based spatial transcripomics, such as 10x Visium.
bioMate-AI/biomate-bioconductor-kb
standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data.
bioMate-AI/biomate-bioconductor-kb
Statial is a suite of functions for identifying changes in cell state.
bioMate-AI/biomate-bioconductor-kb
Generate SuperSigs (supervised mutational signatures) from single nucleotide variants in the cancer genome.
bioMate-AI/biomate-bioconductor-kb
syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them.
bioMate-AI/biomate-bioconductor-kb
Offers functions for plotting split (or implicit) networks (unrooted, undirected) and explicit networks (rooted, directed) with reticulations extending.
bioMate-AI/biomate-bioconductor-kb
A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins.
bioMate-AI/biomate-bioconductor-kb
This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction.
bioMate-AI/biomate-bioconductor-kb
Variance-stabilizing transformations help with the analysis of heteroskedastic data (i.e., data where the variance is not constant, like count data).
bioMate-AI/biomate-bioconductor-kb
treekoR is a novel framework that aims to utilise the hierarchical nature of single cell cytometry data to find robust and interpretable associations between cell subsets and patient clinical end…
bioMate-AI/biomate-bioconductor-kb
This package enables the interpretation and analysis of results from a gene set enrichment analysis using network-based and text-mining approaches.