Author

Marcin Nicoś

Medical University of LublinORCID 0000-0002-9566-113XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alicja RączkowskaiD· 1 shared Ewa SzczurekiD· 1 shared Iwona Paśnik· 1 shared Justyna SzumiłoiD· 1 shared Magdalena A. BudzinskaiD· 1 shared Michał Kukiełka· 1 shared Nicola CrosettoiD· 1 shared Paweł Adam KrawczykiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Alicja RączkowskaORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsBMC CancerPeer-reviewedSep 21, 2022

Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer

Alicja Rączkowska, Iwona Paśnik, Michał Kukiełka…·Ewa Szczurek

This study uses deep learning to segment tumor microenvironments in lung cancer images, predicting patient survival and gene mutations with moderate to high accuracy.

40 citations

humanspatial transcriptomics

𝕏 PostBluesky