scRNA multimodal analysis pipeline utilised for large dataset processing
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Updated
Jun 14, 2024 - Python
scRNA multimodal analysis pipeline utilised for large dataset processing
Clustering scRNAseq by genotypes
PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery
Manipulate scRNA-seq data with GSASD
scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
Tools, wrappers, utilities, and resources for handling single-cell and spatial transcriptomics data
An effective tool for single-cell RNA sequencing.
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.
This repository houses a workflow that uses biological feature trees to segregate cancer RNA-seq datasets, then it trains machine learning models to predict the presence or absence of known, cancer-associated DNA-level mutations.
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
AutoML-based Genetic regulatory Element extrAction System
Quantifying experimental perturbations at single cell resolution
scSPARKL is an Apache spark based pipeline for performing variety of preprocessing and downstream analysis of scRNA-seq data.
Folded and map strategy and cell perturbation response prediction
Single cell type annotation guided by cell atlases, with freedom to be queer
Constructing a developmental tree from scRNA-seq data
Finding and analyzing alternate poly-A sites in 3' scRNA-seq 10X files
PyPairs - A python scRNA-Seq classifier
Single-Cell Data Science
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