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Friedrich Rippmann
Friedrich Rippmann
Biodata
Cancer
Immunology
Biology
Computational biology
5
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30
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Abstract A099: Using high-throughput phenotypic screening to identify therapeutic targets for the inhibition of myeloid-derived suppressor cells
2019
Cancer immunology research
Elissaveta Petrova
Sandra Schaffner
Jan Carsten Pieck
Christian Herhaus
Friedrich Rippmann
Oliver Pöschke
Laura Helming
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Interpretable Deep Learning in Drug Discovery.
2019
arXiv: Learning
Kristina Preuer
Günter Klambauer
Friedrich Rippmann
Sepp Hochreiter
Thomas Unterthiner
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Biological assays for irritant, tumor-initiating and -promoting activities. III. Computer-assisted management and validation of biodata generated by standardized initiation/promotion protocols in skin of mice.
1991
Journal of Cancer Research and Clinical Oncology
Lutz Edler
Rainer Schmidt
Ernst Weber
Friedrich Rippmann
Erich Hecker
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Biological assays for irritant, tumor-initiating and -promoting activities. III. Computer-assisted management and validation of biodata generated by standardized initiation/promotion protocols in skin of mice.
1991
Journal of Cancer Research and Clinical Oncology
Lutz Edler
Rainer Schmidt
Ernst Weber
Friedrich Rippmann
Erich Hecker
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Outline of a Descriptive General Theory of Environmental Chemical Cancerogenesis — Experimental Threshold Doses for Tumor Promoters
1990
Erich Hecker
Friedrich Rippmann
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1