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With its broad coverage R packages and other tool, it will offer researchers of RNA-seq data an easy access to all the important and relevant analytical steps.
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.
Finding gene expression states in scRNA-seq data
Toolkit for reproducible single-cell data analyses
XML dom package for R similar to jdom implemented using Reference Classes
Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.
Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more
Spatial Transcriptomics Capture Location Deconvolution
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
wanglabtongji / STRIDE
Forked from DongqingSun96/STRIDESTRIDE (Spatial TRanscRIptomics DEconvolution by topic modelling) is a cell-type deconvolution tool for spatial transcriptomics by using single-cell transcriptomics data.
R package implementation of Milo for testing for differential abundance in KNN graphs
Clone of the Bioconductor repository for the batchelor package.
Training cell segmentation models using deep learning
📘 The interactive computing suite for you! ✨
Control and installation of a cyclic smFISH robot