Hypothesis Prioritisation in multi-trait Colocalization

Graspot: A graph attention network for spatial transcriptomics data integration with optimal transport

Estimate genetic correlation using predicted expression

R package for performing high dimensional multi-trait colocalization analyses using GWAS summary data

Implementation of multiplex Leiden for analysis of spatial omics data

Implementation of MULTISPATI-PCA in Python

Randomized Spatial PCA (RASP): a computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data

Spatially aware dimension reduction for spatial transcriptomics.

A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.

MA-FOCUS: Multi-Ancestry Fine-mapping Of CaUsal gene Sets

Spatiotemporal modeling of spatial transcriptomics

Probabilistic Alignment of Spatial Transcriptomics Experiments v.2

STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.

STAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages

LIANA: a LIgand-receptor ANalysis frAmework

MUSTANG: reference-free MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance

An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..

Spatial alignment of single cell transcriptomic data.

Spatial Dependence: Weighting Schemes and Statistics

Gene set scoring for single-cell data

Gene Set + S2G strategy annotations analyzed for disease architecture

R package for performing 2-sample MR using IEU OpenGWAS database