Author

Z. Dezso

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

M. J. Flister· 2 shared A. Lemke· 1 shared A. R. Peck· 1 shared A. Vo· 1 shared B. Riley-Gillis· 1 shared C. Gekas· 1 shared C. Jeffries· 1 shared C. Lu· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

M. J. Flister

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Author profile →

2 papers

Recent·Most cited

Machine Learning Reveals Genetic Modifiers of the Immune Microenvironment of Cancer

B. Riley-Gillis, S.-W. Tsaih, E. King, S. Wollenhaupt, J. Reeb, A. R. Peck, K. Wackman, A. Lemke, H. Rui, Z. Dezso, M. J. Flister

This paper uses machine learning to identify genetic modifiers of the immune microenvironment in breast cancer, prioritizing LSP1 and TLR1 as potential therapeutic targets.

iScience · Sep 1, 2023Peer-reviewedCancer Biology

TCGADEPMAP -- Mapping Translational Dependencies and Synthetic Lethalities within The Cancer Genome Atlas

X. Shi, C. Gekas, D. Verduzco, S. Petiwala, C. Jeffries, C. Lu, E. Murphy, T. Anton, A. Vo, Z. Xiao, P. Narayanan, M. Barnes, S. Roy, C. Ramathal, M. J. Flister, Z. Dezso

TCGADEPMAP maps translational tumor dependencies and synthetic lethality using TCGA data, identifying novel targets like PAPSS1/2 with clinical implications.

bioRxiv · Mar 24, 2022 · PreprintCancer Biology