Author

M. Salek

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

Biology Disciplines

Click to filter author papers

Animal Behavior & Cognition· 1 Biochemistry· 1 Cell Biology· 1 Ecology· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Assay:imaging· 2 Assay:proteomics· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

A. B. Riemer· 2 shared A. Jovic· 1 shared A. Y. Wong-Thai· 1 shared B. Chan· 1 shared C. Chang· 1 shared C. Johnson· 1 shared C. Lotsch· 1 shared D. Jager· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 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

2 shared papersImmunology

A. B. Riemer

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

optiPRM: A targeted immunopeptidomics LC-MS workflow with ultra-high sensitivity for the detection of mutation-derived tumor neoepitopes from limited input material

M. Salek, J. D. Forster, J. P. Becker, M. Meyer, P. Charoentong, Y. Lyu, K. Lindner, C. Lotsch, M. Volkmar, F. Momburg, I. Poschke, S. Frohling, M. Schmitz, R. Offringa, M. Platten, , A. B. Riemer

The paper introduces optiPRM, a targeted LC-MS workflow that enhances sensitivity for detecting mutation-derived neoepitopes from limited tumor samples.

Molecular & Cellular Proteomics · Sep 1, 2024Peer-reviewedImmunology

Realtime morphological characterization and sorting of unlabeled viable cells using deep learning

M. Salek, N. Li, H.-P. Chou, K. Saini, A. Jovic, K. B. Jacobs, C. Johnson, E. J. Lee, C. Chang, P. Nguyen, J. Mei, K. P. Pant, A. Y. Wong-Thai, Q. F. Smith, S. Huang, , M. Masaeli

COSMOS enables real-time, unlabeled cell sorting based on morphology using deep learning, achieving high enrichment of viable cells for functional analysis.

bioRxiv · Feb 28, 2022 · PreprintCell Biology

Light contamination in stable isotope-labelled internal peptide standards is frequent and a potential source of false discovery and quantitation error in proteomics

M. Salek, J. D. Foerster, W.-D. Lehmann, A. B. Riemer

The paper identifies light contamination in heavy labelled synthetic peptides as a source of false discovery and quantitation error in proteomics.

bioRxiv · Nov 8, 2021Biochemistry

Measuring individual identity information in animal signals: Overview and performance of available identity metrics

P. Linhart, T. Osiejuk, M. Budka, M. Salek, M. Spinka, R. Policht, M. Syrova, D. T. Blumstein

The paper evaluates metrics for quantifying individuality in animal signals and recommends Beechers information statistic as the most reliable measure.

bioRxiv · Feb 10, 2019Ecology

Diverse incubation rhythms in a facultatively uniparental shorebird -- the Northern Lapwing

M. Sladecek, E. Wozabulova, M. Salek, M. Bulla

The paper describes diverse incubation rhythms and parental involvement in Northern Lapwing nests using continuous video monitoring.

bioRxiv · May 17, 2018Animal Behavior & Cognition