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Gregor Miller

As seen in: Nature, Texas Medical Center, European Urology

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Articles

Guidelines for Research Data Integrity (GRDI) - Scientific Data Original

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By Gregor Miller, Elmar Spiegel
| Nature Verified
Ensuring the integrity of research data is crucial for the accuracy and reproducibility of any data-based scientific study. This can only be achieved by establishing and implementing strict rules for the handling of research data. Essential steps for achieving high-quality data involve planning what data to gather, collecting it in the correct manner, and processing it in a robust and reproducible way.
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"Extensive Identification of Genes Involved in Congenital and Structura" by Nadine Spielmann, Gregor Miller et al.

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By Nadine Spielmann, Gregor Miller, Tudor I. Oprea, Chih-Wei Hsu
| Texas Medical Center
Abstract Clinical presentation of congenital heart disease is heterogeneous, making identification of the disease-causing genes and their genetic pathways and mechanisms of action challenging. By using in vivo electrocardiography, transthoracic echocardiography and microcomputed tomography imaging to screen 3,894 single-gene-null mouse lines for structural and functional cardiac abnormalities, here we identify 705 lines with cardiac arrhythmia, myocardial hypertrophy and/or ventricular dilation.
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Kidney Transplantation Outcome Predictions (KTOP): A Risk Prediction Tool for Kidney Transplants from Brain-dead Deceased Donors Based on a Large European Cohort

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By Gregor Miller, Donna P. Ankerst, Michael W. Kattan
| European Urology Verified
Abstract Background European kidney donation shortages mandate efficient organ allocation by optimizing the prediction of success for individual recipients. Objective To develop the first European online risk tool for kidney transplant outcomes on the basis of recipient-only and recipient plus donor characteristics.
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