Stars
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
marker-based purification of cell types from single-cell RNA-seq datasets
Machine learning-based integration model with elegant performance
ggNetView is an R package for network analysis and visualization. It provides flexible and publication-ready tools for exploring complex biological and ecological networks.
The integration of single cell rank-based gene set enrichment analysis
Python and R code used to produce the analysis in Almet et al. (2023), "Inferring pattern-driving intercellular flows from single-cell and spatial transcriptomics"
Automated analysis of histology sections from organoids
Single cell RNA-sequencing analysis of human liver organoid models of MASLD
[NeurIPS 2024 Spotlight] A cell-ontology guided transcriptome foundation model
Statistical testing and visualization of mult-set intersections
Robust identification of perturbed cell types in single-cell RNA-seq data
Repository containing notebooks and scripts associated with spatiotemporal profiling and modeling of brain across adult life
📈 📊 Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
Integrate Analysis and Visualization for Bioinformatic Enrichment Analyzer
Machine learning in Python with scikit-learn MOOC
Automated Machine Learning with scikit-learn
The code of molecular classification of degenerative disc disease
A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods
Weakly supervised learning uncovers phenotypic signatures in single-cell data
Clonalscope is a subclone detection method based on copy number alterations (CNAs) for single-cell and ST tumor sequencing data. Clonalscope is able to detect subclones, label malignant cells, and …