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Nathalie Harder

Name	Nathalie Harder
Ort	Heidelberg (Wirkungsort) Deutschland
Geschlecht	weiblich
Akademischer Grad bzw. Titel	Dr. rer. nat.
Variante	N. Harder
Weitere Angaben	Diploma degree in Medical Informatics, University Heidelberg; Postdoc in the Biomedical Computer Vision Group (BMCV) at the University of Heidelberg (BioQuant, IPMB, Dept. Bioinformatics & Functional Genomics) and the German Cancer Research Center (DKFZ, Div. Theoretical Bioinformatics)
Datensatztyp	Person
GND-Nummer	1073949370
Datensatz-ID	1073949370
Beteiligt an alle anzeigen HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma Tissue Phenomics for prognostic biomarker discovery in low- and intermediate-risk prostate cancer The long non-coding RNA LINC00152 is essential for cell cycle progression through mitosis in HeLa cells The long non-coding RNA LINC00152 is essential for cell cycle progression through mitosis in HeLa cells High-Throughput RNAi Screening Identifies a Role for the Osteopontin Pathway in Proliferation and Migration of Human Aortic Smooth Muscle Cells Automatic cell cycle analysis based on live cell fluorescence microscopy image sequences

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Nathalie Harder

HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer

Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma

Tissue Phenomics for prognostic biomarker discovery in low- and intermediate-risk prostate cancer

The long non-coding RNA LINC00152 is essential for cell cycle progression through mitosis in HeLa cells

The long non-coding RNA LINC00152 is essential for cell cycle progression through mitosis in HeLa cells

High-Throughput RNAi Screening Identifies a Role for the Osteopontin Pathway in Proliferation and Migration of Human Aortic Smooth Muscle Cells

Automatic cell cycle analysis based on live cell fluorescence microscopy image sequences