Dr. Stefanie Mücke
Dr. Stefanie Mücke
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Cited by
Cited by
Transcriptional Reprogramming of Rice Cells by Xanthomonas oryzae TALEs
S Mücke, M Reschke, A Erkes, CA Schwietzer, S Becker, J Streubel, ...
Frontiers in plant science 10, 162, 2019
PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting
A Erkes, S Mücke, M Reschke, J Boch, J Grau
PLoS computational biology 15 (7), e1007206, 2019
MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction
TN Dong, S Mücke, M Khosla
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
A message passing framework with multiple data integration for miRNA-disease association prediction
TN Dong, J Schrader, S Mücke, M Khosla
Scientific Reports 12 (1), 16259, 2022
Flexible TALEs for an expanded use in gene activation, virulence and scaffold engineering
S Becker, S Mücke, J Grau, J Boch
Nucleic Acids Research 50 (4), 2387-2400, 2022
Epigenetic features improve TALE target prediction
A Erkes, S Mücke, M Reschke, J Boch, J Grau
BMC genomics 22, 1-18, 2021
Validation of the predictive value of BDNF-87 methylation for antidepressant treatment success in severely depressed patients—a randomized rater-blinded trial
HB Maier, A Neyazi, GL Bundies, F Meyer-Bockenkamp, S Bleich, ...
Trials 25 (1), 247, 2024
Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression
H Maharlou, N Bössel-Debbert, M Lucht, HB Maier, S Mücke, ...
The Eurographics Association, 2024
Identification of susceptibility targets of bacterial leaf blight and development of genome edited rice lines with increased resistance
S Mücke
Gottfried Wilhelm Leibniz Universität Hannover, 2020
TALEs—10 Jahre nach Entschlüsselung des Codes
S Mücke, J Boch
BIOspektrum 25, 375-377, 2019
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