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Franziska Kappenberg (1994-)

Statistikerin

Name	Franziska Kappenberg
Zeit	1994- (Lebensdaten)
Ort	Deutschland
Geschlecht	weiblich
Akademischer Grad bzw. Titel	Dr. rer. nat.
Beruf	Statistikerin (charakteristischer Beruf) Mathematikerin
Beziehung	Technische Universität Dortmund. Statistische Methoden in der Genetik und Chemometrie (Wissenschaftliche Mitarbeiterin) Analyse von Genexpressionsdaten (Thema) Toxikologie (Thema)
Quelle	Homepage: https://www.statistik.tu-dortmund.de/kappenberg.html (07.02.2019) Homepage: https://www.researchgate.net/profile/Franziska_Kappenberg (21.06.2021)
Datensatztyp	Person
GND-Nummer	1177307766
Datensatz-ID	1177307766
Beteiligt an alle anzeigen Transcriptome-based prediction of drugs, inhibiting cardiomyogenesis in human induced pluripotent stem cells Guidance for statistical design and analysis of toxicological dose–response experiments, based on a comprehensive literature review High Accuracy Classification of Developmental Toxicants by In Vitro Tests of Human Neuroepithelial and Cardiomyoblast Differentiation Transcriptome-based prediction of drugs, inhibiting cardiomyogenesis in human induced pluripotent stem cells Model selection characteristics when using MCP‐Mod for dose–response gene expression data High Accuracy Classification of Developmental Toxicants by In Vitro Tests of Human Neuroepithelial and Cardiomyoblast Differentiation Model selection characteristics when using MCP-Mod for dose–response gene expression data Statistical approaches for calculating alert concentrations from cytotoxicity and gene expression data The hepatocyte export carrier inhibition assay improves the separation of hepatotoxic from non-hepatotoxic compounds Handling deviating control values in concentration-response curves Determination of benchmark concentrations and their statistical uncertainty for cytotoxicity test data and functional in vitro assays Handling deviating control values in concentration-response curves Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations

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Katalog der Deutschen Nationalbibliothek

Franziska Kappenberg (1994-)

Transcriptome-based prediction of drugs, inhibiting cardiomyogenesis in human induced pluripotent stem cells

Guidance for statistical design and analysis of toxicological dose–response experiments, based on a comprehensive literature review

High Accuracy Classification of Developmental Toxicants by In Vitro Tests of Human Neuroepithelial and Cardiomyoblast Differentiation

Transcriptome-based prediction of drugs, inhibiting cardiomyogenesis in human induced pluripotent stem cells

Model selection characteristics when using MCP‐Mod for dose–response gene expression data

High Accuracy Classification of Developmental Toxicants by In Vitro Tests of Human Neuroepithelial and Cardiomyoblast Differentiation

Model selection characteristics when using MCP-Mod for dose–response gene expression data

Statistical approaches for calculating alert concentrations from cytotoxicity and gene expression data

The hepatocyte export carrier inhibition assay improves the separation of hepatotoxic from non-hepatotoxic compounds

Handling deviating control values in concentration-response curves

Determination of benchmark concentrations and their statistical uncertainty for cytotoxicity test data and functional in vitro assays

Handling deviating control values in concentration-response curves

Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations

Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations