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Updated
Mar 15, 2019 - Python
<<------ Use SnapATAC!!
Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing
Single Cell Outlier Selector - quickly find outliers in your single-cell data
Single-Cell Data Science
PyPairs - A python scRNA-Seq classifier
Repository dedicated to my project on PhenoGraph.
represent each cell in UMAP plots as a pie chart
scPretrain: Multi-task self-supervised learning for cell type classification
VEGA: VAE Enhanced by Gene Annotations
Notes and studies about single-cell RNA-Seq analysis
Deep Unsupervised Single-cell Clustering (DUSC) is a hybrid approach for cell type discovery in scRNA-seq data.
An implementation of MNN (Mutual Nearest Neighbors) correct in python.
Python library for spheres in quantitative phase imaging
Pipeline to analyze Indrops V3 data using STARsolo
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
Analysis toolset with GUI for Neuroscience
Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data (Cell Patterns, 2023)
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
Identifying Cell-states Across Treatments
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