Author

Djordje Djordjevic

Novo Nordisk (Denmark)ORCID 0000-0003-3669-6292Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cell Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Joshua W. K. HoiD· 2 shared Adam AmeuriD· 1 shared Amin AllalouiD· 1 shared Anastasia EmmanouilidouiD· 1 shared Anders Olof LarssoniD· 1 shared Anna UrygaiD· 1 shared Anne Louise JenseniD· 1 shared Anton MarkoviD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Joshua W. K. HoORCID

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4 papers

Recent·Most cited

Cell BiologyiSciencePeer-reviewedOct 5, 2025

Mapping atherogenesis mechanisms in smooth muscle cells by targeting genes linked to coronary artery disease

Julián Albarrán-Juárez, Anton Markov, Anne Louise Jensen…·Jacob Fog Bentzon

This study identifies 20 GWAS risk genes in smooth muscle cells linked to coronary artery disease and reveals shared disease mechanisms across different gene types.

6 citations

humanscRNA-seq

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJul 22, 2023

Kita crispants for systematic image-based genetic screens of complex traits in zebrafish larvae

Eugenia Mazzaferro, Christoph Metzendorf, Hanqing Zhang…·Marcel den Hoed

The paper introduces Kita as a target for CRISPR/Cas9 screens in zebrafish larvae to improve the reliability and efficiency of genetic screens for complex traits.

1 citation

zebrafishexperimental assay

𝕏 PostBluesky

BioinformaticsComputational Biology and ChemistryPeer-reviewedMar 24, 2019

Discovery of perturbation gene targets via free text metadata mining in Gene Expression Omnibus

Djordje Djordjevic, Joshua Y. S. Tang, Yun Xin Chen…·Joshua W. K. Ho

GEOracle identifies perturbation gene targets in GEO by mining free text metadata and performing differential expression analysis.

11 citations

bulk RNA-seqmachine learning (classical)

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BioinformaticsComputational Biology and ChemistryPeer-reviewedOct 9, 2018

C3: An R package for cross-species compendium-based cell-type identification

Md. Humayun Kabir, Djordje Djordjevic, Michael D. O’Connor, Joshua W. K. Ho

C3 is an R package that enables cross-species cell-type identification by comparing gene expression profiles against a compendium, using a cross-species gene set analysis framework to correct for homologous gene mapping biases.

2 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky