RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines. Read more about RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines.
canvasDesigner: a versatile interactive high-resolution scientific multi-panel visualization toolkit. Read more about canvasDesigner: a versatile interactive high-resolution scientific multi-panel visualization toolkit.
CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones. Read more about CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
MechRNA: prediction of lncRNA mechanisms from RNA-RNA and RNA-protein interactions. Read more about MechRNA: prediction of lncRNA mechanisms from RNA-RNA and RNA-protein interactions.
Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer. Read more about Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer.
Orchid: a novel management, annotation and machine learning framework for analyzing cancer mutations. Read more about Orchid: a novel management, annotation and machine learning framework for analyzing cancer mutations.
CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline. Read more about CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline.
RImmPort: an R/Bioconductor package that enables ready-for-analysis immunology research data. Read more about RImmPort: an R/Bioconductor package that enables ready-for-analysis immunology research data.
PHOCOS: inferring multi-feature phenotypic crosstalk networks. Read more about PHOCOS: inferring multi-feature phenotypic crosstalk networks.
SCell: integrated analysis of single-cell RNA-seq data. Read more about SCell: integrated analysis of single-cell RNA-seq data.
