CelliVerse

Overview

celliverse provides an integrated framework for single-cell RNA-seq analysis with a focus on data-driven clustering, marker discovery, marker assessment and cell type annotation. Its methods use cell-intrinsic expression organisation to support robust characterisation of cellular populations while remaining practical within common single-cell workflows.

The package includes ClustoCell for unsupervised cell clustering and sub-clustering, tools for positive and negative marker discovery, marker purity assessment, dataset-level feature selection, label transfer and annotation workflows. It also provides CelliVerse MarkerDB, a curated marker resource containing positive and negative markers for human and mouse cell types.

Feature Explorer Adoption Hub

Adrian Salavaty
Adrian Salavaty
Senior Bioinformatician
Senior Cancer Scientist

Bioinformatician and systems biologist developing computational methods for single-cell, spatial and multi-omics cancer research.

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