Author

Carlos J Rodriguez-Flores

Universidad de NavarraORCID 0009-0001-9048-4795Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:optimal transport· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Danel Olaverri-MendizabaliD· 2 shared Francisco J. PlanesiD· 2 shared Luis V. ValcárceliD· 2 shared Naroa BarrenaiD· 2 shared Felipe PrósperiD· 1 shared Idoia OchoaiD· 1 shared Xabier AgirreiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersSystems Biology

Danel Olaverri-MendizabalORCID

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2 papers

Recent·Most cited

Systems BiologyBioinformatics AdvancesPeer-reviewedDec 19, 2025

Beyond synthetic lethality in large-scale metabolic and regulatory network models via genetic minimal intervention sets

Naroa Barrena, Carlos J Rodriguez-Flores, Luis V. Valcárcel…·Francisco J. Planes

The paper introduces genetic Minimal Intervention Sets (gMISs) to identify lethal genetic interactions beyond synthetic lethality in human cells and demonstrates their application in cancer research.

DOI 10.1093/bioadv/vbaf319

humanstatistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintFeb 2, 2024

gMCSpy: Efficient and accurate computation of Genetic Minimal Cut Sets in Python

Carlos J Rodriguez-Flores, Naroa Barrena, Danel Olaverri-Mendizabal…·Francisco J. Planes

gMCSpy is a Python package for calculating genetic minimal cut sets in genome-scale metabolic models, offering improved accuracy and speed over existing tools.

DOI 10.1101/2024.02.02.578370

statistical modeloptimal transport

𝕏 PostBluesky