VIOLET
Visual Intelligence Layer for Oncology Trends & Evidence Triangulation
3D semantic maps of 351 CLL patients — clustered by mutation profiles, methylation burden, and treatment outcomes. Search across the entire Wierda dataset by gene, subtype, or clinical marker.
Mutation Heatmap — 10 Patients x 10 Genes
Wierda CLL Dataset — Data Fields
Gene DNA mutations
KRAS, RUNX1, NPM1, FLT3, TET2, TP53, DNMT3A, IDH1, IDH2, ASXL1 — binary mutation status per patient. Co-mutation matrices generated automatically.
Gene RNA expression
CSF3R, ABL1, CALR, IDH2, JAK2, MPL — RNA-level gene expression markers. Differential expression across subtypes visualized.
48 CpG methylation sites
Beta values (0-1) for each CpG site from Illumina 450K and EPIC arrays. Heatmaps, clustering, and burden scores generated per patient.
Leukemia score
Composite leukemia confirmation score derived from blast %, lab values, and genetic markers. Used for cohort segmentation and treatment response correlation.
Subtype clustering
5 leukemia subtypes (AML, ALL, CLL, CML, MDS-MPN) as primary clusters. Sub-clusters from mutation profiles and methylation patterns.
Treatment outcomes
Protocol assignments, response categories (CR, PR, PD), survival status, and relapse events — correlated with genomic markers.
Data Pipeline — Ingest to Visualization
Ingest
Wierda CLL dataset — 351 patients, 96 fields
Profile
10 gene mutations + 48 CpG sites per patient
Cluster
3D embedding by subtype, mutation, methylation
Correlate
Treatment outcomes × genomic markers
Visualize
Interactive 3D maps + searchable cohort
Platform Capabilities
3D semantic cohort maps
351 CLL patients plotted in 3D space — clustered by subtype, gene mutations, methylation burden, and treatment outcomes.
Gene mutation network
DNA mutation profiles visualized as interconnected networks. Co-occurrence patterns surface actionable mutation combinations.
Methylation burden analysis
48 CpG sites analyzed per patient. Epigenetic patterns correlated with treatment response and survival outcomes.
Evidence triangulation
Search by mutation, blast %, subtype — matching patients light up. Cross-reference with CLL research literature.
Treatment trend tracking
Protocol assignments, response rates, and outcome distributions visualized across the entire cohort.
Literature integration
CLL research papers indexed alongside patient data. When patterns emerge, VIOLET surfaces supporting published evidence.
See the live platform
Explore VIOLET's interactive 3D semantic maps — search across 351 CLL patients by mutation, subtype, methylation burden, and treatment outcomes.
Launch VIOLET