121 to 130 of 163 Results
Sep 27, 2019
Data publications from the Institute of Medical Informatics |
Jun 7, 2019
Data publications from SFB 1036. |
May 28, 2019 - KnopLab
Buchmuller, Benjamin C; Herbst, Konrad; Meurer, Matthias; Kirrmaier, Daniel; Sass, Ehud; Levy, Emmanuel D; Knop, Michael, 2019, "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]", https://doi.org/10.11588/data/L45TRX, heiDATA, V2
Data accompanying the paper "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast" by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the... |
Feb 6, 2019 - Computer Assisted Clinical Medicine
Zöllner, Frank; Lietzmann, Florian; Attenberger, Ulrike; Haneder, Stefan; Michaely, Henrik; Schad, Lothar, 2019, "DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]", https://doi.org/10.11588/data/5RSAM3, heiDATA, V1
To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH). Dynamic contrast enhanced magnetic reso... |
Feb 5, 2019 - Computer Assisted Clinical Medicine
Davids, M.; Zöllner, F.; Ruttorf, M.; Nees, F.; Flor, H.; Schumann, G.; Schad, L.; the Imagen Consortium, 2019, "Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]", https://doi.org/10.11588/data/RR5BMF, heiDATA, V1
43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra... |
Jan 26, 2019 - Computer Assisted Clinical Medicine
Gaa, Tanja; Neumann, Wiebke; Sudarski, Sonja; Attenberger, Ulrike I.; Schönberg, Stefan O.; Schad, Lothar R.; Zöllner, Frank G., 2017, "Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]", https://doi.org/10.11588/data/NULJJR, heiDATA, V2
Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were... |
Dec 11, 2018 - KnopLab
Constantinou, Iordania; Jendrusch, Michael; Aspert, Théo; Görlitz, Frederik; Schulze, André; Charvin, Gilles; Knop, Michael, 2018, "3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging [data set]", https://doi.org/10.11588/data/L5J7WO, heiDATA, V1
Accompanying data for the manuscript "3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging". |
Nov 27, 2018 - Diagnostic and Interventional Radiology
Triphan, Simon, 2018, "Perfusion quantification data for "Towards Quantitative Perfusion MRI of the Lung in COPD: The Problem of Short-Term Repeatability"", https://doi.org/10.11588/data/ZPEZPX, heiDATA, V1, UNF:6:SE0iKbhWdsMOrcUkd706AA== [fileUNF]
ABSTRACT Purpose 4D perfusion magnetic resonance imaging (MRI) with intravenous injection of contrast agent allows for a radiation-free assessment of regional lung function. It is therefore a valuable method to monitor response to treatment in patients with chronic obstructive pu... |
Oct 22, 2018 - Statistical Genetics
Lorenzo Bermejo, Justo et al., 2018, "RNA Sequence Data for Hepatobiliary Cancer Cell Lines", https://doi.org/10.11588/data/SCGJHQ, heiDATA, V1
RNA Sequence Data for Hepatobiliary Cancer Cell Lines |
Oct 15, 2018 - Statistical Genetics
Kabisch, Maria; Hamann, Ute; Lorenzo Bermejo, Justo, 2018, "Imputation of Missing Genotypes within LD-Blocks Relying on the Basic Coalescent and Beyond [Source Code]", https://doi.org/10.11588/data/X9UEHB, heiDATA, V1
Background Genotypes not directly measured in genetic studies are often imputed to improve statistical power and to increase mapping resolution. The accuracy of standard imputation techniques strongly depends on the similarity of linkage disequilibrium (LD) patterns in the study... |