Author

Costas Mitsopoulos

Institute of Cancer ResearchORCID 0000-0002-9116-5921Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bissan Al‐LazikaniiD· 2 shared Stephanie SchmidtiD· 2 shared Adrian LärkerydiD· 1 shared Burga Ozer· 1 shared Chunjie JiangiD· 1 shared Colin S. CooperiD· 1 shared James A. CampbelliD· 1 shared Kaitlyn P Russell· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

Bissan Al‐LazikaniORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintApr 25, 2025

Distinct druggable biological processes in early-onset prostate cancer

Stephanie Schmidt, Zsofia Kote‐Jarai, Adrian Lärkeryd…·Bissan Al‐Lazikani

The paper uses machine learning to identify distinct biological processes and druggable targets in early-onset prostate cancer compared to late-onset prostate cancer.

DOI 10.1101/2025.04.25.650707

humanbulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJun 4, 2024

Probabilistic graph-based model uncovers previously unseen druggable vulnerabilities in major solid cancers

Ying Zhu, Stephanie Schmidt, Li Zhao…·Bissan Al‐Lazikani

This paper introduces a graph-based model to identify druggable vulnerabilities in solid cancers, finding 43 novel targets by leveraging cooperativity in molecular networks.

DOI 10.1101/2024.06.04.597409

humanproteomics

𝕏 PostBluesky