Clustering scRNAseq by genotypes
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Updated
Jun 19, 2024 - Python
Clustering scRNAseq by genotypes
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
Quantifying experimental perturbations at single cell resolution
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
Single cell type annotation guided by cell atlases, with freedom to be queer
scRNA multimodal analysis pipeline utilised for large dataset processing
PyPairs - A python scRNA-Seq classifier
Tools, wrappers, utilities, and resources for handling single-cell and spatial transcriptomics data
scSPARKL is an Apache spark based pipeline for performing variety of preprocessing and downstream analysis of scRNA-seq data.
An effective tool for single-cell RNA sequencing.
AutoML-based Genetic regulatory Element extrAction System
Constructing a developmental tree from scRNA-seq data
orthomap is a python package to extract orthologous maps (in other words the evolutionary age of a given orthologous group) from OrthoFinder/eggNOG results. Orthomap results (gene ages per orthogroup) can be further used to calculate weigthed expression data (transcriptome evolutionary index) from scRNA sequencing objects.
Folded and map strategy and cell perturbation response prediction
An autoencoder based imputation of the sparse single cell RNA-seq data.
Finding and analyzing alternate poly-A sites in 3' scRNA-seq 10X files
Single-Cell Data Science
Manipulate scRNA-seq data with GSASD
Work for my MSc thesis - 'Characterising transcriptional variation in tissue-resident macrophage subsets using sc-RNA-seq'
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