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Software

Open-source computational tools for analyzing large-scale biomedical data. All software is freely available on Bioconductor, CRAN, or GitHub.

Single-cell & Spatial Analysis

🧬
Bioconductor / R

Reference construction for supervised celltype in scRNA-seq.

🔬
Bioconductor / R

Single-cell cell type-specific analysis.

🎯
Python

Automated cell type classification for single-cell data.

🌐
Python

Spot level representation learning in spatial transcriptomics.

Deconvolution & Heterogeneity

📊
Bioconductor / R

Reference-free cell type deconvolution for bulk omics data.

🧪
Bioconductor / R

Cell type specific differential analysis with cell type hierarchy.

💊
CRAN / R

Tumor purity estimation from DNA methylation microarray data.

Differential Analysis

📈
Bioconductor / R

Differential methylation analysis for BS-seq data.

Bioconductor / R

Power analysis for RNA-seq experiments.

🔍
Bioconductor / R

Differential peak detection for ChIP-seq data.