Nikolaos‐Kosmas Chlis
ORCID: 0000-0002-6712-8346Also affiliated with Roche Pharma AG (Germany), Institute of Biological and Medical Imaging, Technical University of Munich
Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Papers
Driven by 5 papers. Top paper: “Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning”.
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning
Lisa Rausch, Thomas Brocker, Jan Kranich, Fabian Joachim Theis, Nikolaos‐Kosmas Chlis
Katharina Essig, Sylvia Herter, Marina Bacac, Fabian Joachim Theis, Elke Glasmacher +4 more
Angelos Karlas, Nikolina-Alexia Fasoula, Michael Kallmayer, Hans-Henning Eckstein, Fabian Joachim Theis +5 more
Lisa Rausch, Ashretha Latha, Martina Schifferer, Tilman Kurz, Agnieszka Foltyn-Arfa Kia +5 more
Katharina Essig, Nikolaos‐Kosmas Chlis, Sylvia Herter, Marina Bacac, Fabian Joachim Theis +4 more