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Saeys Lab's Projects

multinichenetr icon multinichenetr

MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data

multivap icon multivap

Multiclass generalization of the binary IVAP defense against adversarial examples

muscatwrapper icon muscatwrapper

Easy muscat differential expression analysis and visualization

nichenet_livercellatlas icon nichenet_livercellatlas

Scripts used for the Differential NicheNet analyses in the Liver Atlas paper Guilliams et al., Cell 2022

nichenetr icon nichenetr

NicheNet: predict active ligand-target links between interacting cells

peacoqc icon peacoqc

Peak-based selection of high quality cytometry data

portal icon portal

Site for https://saeyslab.github.io/portal/

sc_hackathon_2023 icon sc_hackathon_2023

Ghent hackathon on Python/R interoperability for single cell and spatial bioinformatics

scorpius icon scorpius

Trajectory inference for single-cell RNA-seq

synthspot icon synthspot

synthvisium: package to generate synthetic Visium-like spot data

triwise icon triwise

An R package to analyze and visualize gene expression differences in three biological conditions

viscore icon viscore

Single-cell dimensionality reduction evaluation and benchmarking toolkit

viscorer icon viscorer

Cell population-level evaluation of low-dimensional embeddings of labelled biological single-cell datasets

vivae icon vivae

Autoencoder-based models for dimension reduction of high-dimensional cytometry and single-cell RNA-seq data based on geometry and nearest-neighbour relations

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