Published December 19, 2025 | Version 1.0.0-alpha

EVENFLOW Personalised Medicine use case: Breast Invasive Carcinoma datasets collection

  • 1. ROR icon Barcelona Supercomputing Center
  • 1. ROR icon Barcelona Supercomputing Center
  • 2. ROR icon Institució Catalana de Recerca i Estudis Avançats

Description

These datasets contain the synthetic data generated with a VAE from the TCGA-BRCA dataset. The file Static_BRCA.csv contains a pre-processed version of the bulk-RNASeq dataset from TCGA-BRCA. Two synthetic datasets are available (both compressed), where 50 timepoints were inferred: trajectories_1_to_2_test.csv.tar.gz simulates the progression of RNASeq data between patients at stages 1 and 2, while trajectories_2_to_3_test.csv.tar.gz contains the same sort of progression from stage 2 to 3. Finally, nodes_metadata.csv contains the clinical information of the patients (with columns: sample name, histological_type (lobular or ductal) ,gender, race, stage, and subtype).

Trained models used for the synthetic data generation are available in Hugging Face.

Files

nodes_metadata.csv

Files (914.0 MB)

Name Size
md5:3f1c6c0fab077a297dc13bb716bec190
44.6 kB Preview Download
md5:a7940b27fa918b421e3266173f01d558
42.6 MB Preview Download
md5:4b0fe73d84294214dad0c2b2e67202d1
289.8 MB Download
md5:95f6601b7b48c025fbb3e15127d86ff0
581.6 MB Download

Additional details

Funding

European Commission
EVENFLOW - Robust Learning and Reasoning for Complex Event Forecasting 101070430

Dates

Created
2025-12-19

Software

Repository URL
https://github.com/gprolcastelo/renalprog
Programming language
Python , R
Development Status
Active