Author

A. Somarakis

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· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

M. E. Ijsselsteijn· 2 shared A. Kirchmair· 1 shared A. Krogsdam· 1 shared A. Noureen· 1 shared A. Schaefer· 1 shared B. P. F. Lelieveldt· 1 shared C. Becker· 1 shared C. Plattner· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersCancer Biology

M. E. Ijsselsteijn

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2 papers

Recent·Most cited

Functional and spatial proteomics profiling reveals intra- and intercellular signaling crosstalk in colorectal cancer

C. Plattner, G. Lamberti, P. Blattmann, A. Kirchmair, D. Rieder, Z. Loncova, G. Sturm, S. Scheidl, M. E. Ijsselsteijn, G. Fotakis, A. Noureen, R. Lisandrelli, N. Boeck, N. Nemati, A. Krogsdam, , Z. Trajanoski

The paper uses patient-derived organoids and phosphoproteomics to study signaling crosstalk in colorectal cancer and identify off-target effects of kinase inhibitors.

bioRxiv · Sep 16, 2022Cancer Biology

Semi-automated background removal limits loss of data and normalises the images for downstream analysis of imaging mass cytometry data

M. E. Ijsselsteijn, A. Somarakis, B. P. F. Lelieveldt, T. Höllt, N. F. C. C. de Miranda

The paper develops a semi-automated background removal workflow to normalise imaging mass cytometry data, improving data quality and enabling better analysis and comparison of samples.

bioRxiv · Nov 26, 2020Immunology