Deconer

Deconer evaluates reference-based cell type deconvolution methods by providing datasets and visualization interfaces for systematic comparisons of method performance.

Key Features:

• Dataset provision: Deconer provides various simulated and real gene expression datasets, including both bulk and single-cell sequencing data.
• Systematic method comparison: Deconer enables comparison of reference-based deconvolution methods across multiple perspectives including method robustness, accuracy in deconvolving rare components, signature gene selection performance, and external reference construction capability.
• Visualization interfaces: Deconer offers multiple visualization interfaces for evaluating deconvolution results.

Scientific Applications:

• Cell type deconvolution evaluation: Deconer supports systematic assessment of reference-based deconvolution methods to guide selection of appropriate algorithms for quantifying cell-type proportions from transcription data.
• Clinical application guidance: Deconer provides constructive suggestions for applying cell-type deconvolution solutions in clinical contexts.
• Algorithm development: Deconer assists researchers in advancing the development of deconvolution tools tailored to gene expression data.

Methodology:

Deconer was used to conduct systematic comparisons of 16 reference-based deconvolution methods using simulated and real gene expression datasets.