scArches

FUMA (Functional Mapping and Annotation of Genome-Wide Association Studies) maps GWAS summary statistics to genes and biological functions via three complementary strategies: positional mapping, eQTL

2 shared topics • 2 shared operations

Tangram — deep learning framework for mapping single-cell and single-nucleus gene expression data onto spatial transcriptomics data. Built on PyTorch and scanpy, Tangram optimizes a probabilistic mapp

2 shared topics • 2 shared operations

NicheNet — R-based computational framework for studying intercellular communication from single-cell transcriptomics. Predicts which ligands expressed by sender cell types regulate target gene express

3 shared topics

scFoundation — large-scale pretrained foundation model for single-cell transcriptomics built on the xTrimo transformer architecture. Trained on ~50 million human single-cell profiles, scFoundation gen

2 shared topics • 1 shared operation

STARmap (Spatially-resolved Transcript Amplicon Readout mapping) — in situ spatial transcriptomics method that combines hydrogel-tissue chemistry with sequencing-by-hybridization (SEDAL) for multiplex

2 shared topics • 1 shared operation