PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
-
Updated
Aug 1, 2024 - Python
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
Context specific and dynamic gene regulatory network reconstruction and analysis
An implementation of MNN (Mutual Nearest Neighbors) correct in python.
Spatial-Linked Alignment Tool
Spatial Single-Cell Analysis Toolkit
ChatCell: Facilitating Single-Cell Analysis with Natural Language
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
<<------ Use SnapATAC!!
scPretrain: Multi-task self-supervised learning for cell type classification
Spatial profiling toolbox for spatial characterization of tumor immune microenvironment in multiplex images
Reliable, scalable, efficient demultiplexing for single-cell RNA sequencing
A spatial omics data analysis tool that enables both unsupervised and supervised discovery of complex tissue cellular neighborhoods from cell phenotypes.
represent each cell in UMAP plots as a pie chart
SIMBA: SIngle-cell eMBedding Along with features
VEGA: VAE Enhanced by Gene Annotations
Deep Unsupervised Single-cell Clustering (DUSC) is a hybrid approach for cell type discovery in scRNA-seq data.
Add a description, image, and links to the single-cell-analysis topic page so that developers can more easily learn about it.
To associate your repository with the single-cell-analysis topic, visit your repo's landing page and select "manage topics."