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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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EVENFLOW Personalised Medicine use case: Clear Cell Renal Cell Carcinoma (ccRCC, aka KIRC) datasets collection

Authors: Prol-Castelo, Guillermo;

EVENFLOW Personalised Medicine use case: Clear Cell Renal Cell Carcinoma (ccRCC, aka KIRC) datasets collection

Abstract

These datasets contain the synthetic data generated with a VAE from the TCGA-KIRC dataset. The file Static_KIRC.csv contains a pre-processed version of the bulk-RNASeq dataset from TCGA-KIRC. nodes_metadata.csv contains the clinical information of the patients (with columns: sample name, gender, race, and stage). A synthetic dataset is available (compressed), where 50 timepoints were inferred: trajectories_forward_test.csv.tar.gz simulates the progression of RNASeq data between patients at stages early and late. Both the static and trajectory datasets where analyzed for their biological interpretation with a Differential Expression (DESeq) analysis followed by GSEA on all the pathways available in the Reactome database. The results of the static analysis are included in static_gsea_reports_kirc.csv and the results on the trajectories may be found in trajectories_gsea_reports_kirc.csv.tar.gz. Trained models used for the synthetic data generation are available in Hugging Face.

Keywords

Synthetic Biology/statistics & numerical data, Artificial Intelligence, EVENFLOW, Synthetic Biology/statistics & numerical data, Computational Biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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