Marko Zivanović – Biology 2.0
Marko Zivanović – Biology 2.0
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Research Projects

Biology 2.0 research at the intersection of single-cell transcriptomics, artificial intelligence, and reproducible computational biology 

Single-Cell Transcriptomics

Dynamic analysis of cellular states, trajectories, and heterogeneity 

Robust Methodology

 Multi-method validation, quantitative state indices, and reproducible workflows 

Translational Biology

 Computational frameworks for cancer biology and treatment response 

FENIX/PRACE PROJECT

State-based analysis of human scRNA-seq data using RNA velocity

Awarded under the FENIX 2025 call of PRACE, this project develops a robust and reproducible framework for analysing dynamic cellular states in human single-cell transcriptomic data. 

Methodological approach

The workflow combines RNA velocity with quantitative cell-state indices and a multi-method robustness panel. Fifteen complementary inference methods will be compared across non-pathological reference atlases and cancer datasets, including therapy resistance. 

Resources and timeline

The project is supported by the GAIA Cloud platform at CINECA, Italy, with 96 vCPUs, 1.5 TB of persistent storage, and one public IP address for 12 months. Project activation is scheduled for September 2026. 

 COPYRIGHT © 2025 MARKO ŽIVANOVIĆ – BIOLOGY 2.0 • OPERATED BY PROTOTECH LTD. • ALL RIGHTS RESERVED. 

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