K-Pro Capabilities
Available data on K
MOSAIC Dataset: 8 cancer indications with clinical data, histomics, bulk RNA-seq, whole-exome sequencing, single-cell RNA-seq, and spatial transcriptomics
TCGA Dataset: 33 cancer indications with clinical data, histomics, and bulk RNA-seq (no single-cell or spatial data)
K is able to ingest new datasets, with some manual curation required.
Analysis capabilities
Analyses are performed on the fly and consists of a statistical analysis, a plot, a demographic description of the population, and a text-based summary.
When relevant, K can perform complexe groupings according to the user request (e.g group patients according to high or low overall survival, or by high versus low fibroblast count on the H&E sample).
Survival Analysis
Clinical data
Kaplan-Meier curves
Cohort Characterisation
Clinical data
KM curves Bar plots Tables
Performed for all analyses to give context
Treatment Trajectories
Clinical data
Sankey diagrams
Differential Expression Analysis
Bulk RNA-seq
Single-cell RNA-seq
Volcano plot
Covariate adjustment is possible
Comparing gene signatures across multiple groups
Bulk RNA-seq
Single-cell RNA-seq
Spatial transcriptomics
Heatmap & violin plot (bk) Dot plot (sc, spt)
Can be one or multiple genes
Cell Type Analysis
Single-cell RNA-seq
Spatial transcriptomics
H&E
Bar plot Stacked bar plot Boxplot
Information can be first aggregated at the patient level to compare patient-level subgroups, or can be done at the cell or spot level
Co-expression/Colocalization Analysis
Bulk RNA-seq
Single-cell RNA-seq
Spatial transcriptomics
Heatmap Dotplot
Looking at expression or presence absence. Localisation for the spatial plots
Latent Representation
Bulk RNA-seq
Single-cell RNA-seq
Scatter plot in UMAP coordinates
Can be colored by gene expression, signature score or any metadata feature (e.g cell type or age)
Spatial Deep Dive
Spatial transcriptomics
tissue-level representation
Can be colored by gene expression, signature score or any metadata feature (e.g dominant cell type or age)
More information on the available plots can be found here.
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