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Foundational tools for omics data in the life sciences
Scyan: a biology-driven deep generative model for cell type annotation in cytometry
Quantify cell state density and more with Mellon
SimpleAF: an augmented execution context for single-cell data preprocessing with alevin-fry
ENVI: reconstructing tissue niches in single-cell transcriptomics
LEMUR: a new tool for differential expression analysis in multi-condition single-cell RNA-seq data
cell2location: fine-grained cell types in spatial transcriptomics – scverse community meeting
Multi-condition cell-cell communication using LIANA+ – scverse community meeting
biological representation disentanglement of single-cell data – scverse community meeting
integration of paired multi-omics data with Mowgli – scverse community meeting
pseudobulks and differential expression with decoupler – scverse community meeting
2nd scanpy session - Quality control and filtering
6th scanpy session - Gene set enrichment analysis
7th scanpy session - RNA velocity
8th scanpy session - project organisation and reproducibility
9th scanpy session - Quo vadis
3rd scanpy session - Normalisation, Batch correction, Highly variable Genes, Embeddings
4th scanpy session - Clustering and cell type annotation
5th scanpy - Differential expression
1st scanpy session - overview and experimental considerations