Developments

An integrated R framework for data-driven single-cell clustering, marker discovery, marker assessment and cell type annotation.

A reference-independent framework for resolving cell types and states from single-cell transcriptomes using cell-intrinsic expression organisation.

Identification and Classification of the Most Influential Nodes.

Identification and Classification of the Most Influential Nodes.

AutoClone Shiny App; automatic analysis of genetic labelling data and clonality assessment.

Centrality-based Network Visualization.

Evaluation of the impact of knockout or over-expression of a node (e.g. gene, protein, etc.) within a network.

ExIR; a versatile one-stop model for the extraction, classification, and prioritization of candidate genes from experimental data.

ExIR Shiny App; a user-friendly web app for running the ExIR model on high-throughput data.

Visualization of ExIR results.