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 herearrow-up-right.

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