Clustering scRNAseq by genotypes
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Updated
Nov 15, 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
Single cell analysis using Low Resource
scRNA multimodal analysis pipeline utilised for large dataset processing
Perturbational analysis by causality-aware generative model for single-cell RNA-sequencing 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.
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
AutoML-based Genetic regulatory Element extrAction System
PyPairs - A python scRNA-Seq classifier
PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery
Constructing a developmental tree from scRNA-seq data
An effective tool for single-cell RNA sequencing.
Finding and analyzing alternate poly-A sites in 3' scRNA-seq 10X files
Tools, wrappers, utilities, and resources for handling single-cell and spatial transcriptomics data
Single-cell eQTL mapping and causal gene regulatory network inference at high efficiency and accuracy
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