Suchergebnisse

IVS-BM: Bibliometric Analyses of Selected Authors. (2007)

IVS-BM: Daten zum wissenschaftlichen Output Singapurs. (2007)

Bauer, J.; Wallisch, S.; Marx, W.; Bowman, B. F.: Bibliometrische Analyse der Abteilungen einiger Institute in der BM-Sektion der MPG. (2007)

IVS-BM: MPI Psychiatrie - Comparison of Publications (2000 - 2005). (2006)

IVS-BM: International Ranking of the Max Planck Society. (2006)

IVS-BM: Comparison of Selected Research Schools. (2005)

Bauer, J.: Bibliometrische Betrachtung zu A. Butenandt. (2003)

Lin, X.; Sun, B. H.; Liang, M.; Liang, Y. Y.; Gast, A.; Hildebrand, J. D.; Brunicardi, F. C.; Melchior, F.; Feng, X. H.: Opposed regulation of corepressor CtBP by SUMOylation and PDZ binding (vol 11, pg 1389, 2003), (2003)

Feng, X. H.; Sun, B. H.; Liang, M.; Brunicardi, F. C.; Melchior, F.; Lin, X.: Differential regulation of CtBP copressor function by SUMOylation, (2003)

Lamb, D. C.; Coban, O.; Zaychikov, E.; Heumann, H.; Nienhaus, G. U.: Single molecule FRET measurements of E. coli RNA Polymerase translocation, (2002)

Popp, A. K.; Goetter, R.; Gerisch, G.; Sackmann, E.; Frey, E.: Average mechanical properties of cortexillin-crosslinked actin filaments, (2002)

Cox, J.: Prediction of peptide mass spectral libraries with machine learning. (2022)

Bludau, I.: Discovery-Versus Hypothesis-Driven Detection of Protein-Protein Interactions and Complexes. (2021)

Fiore, A.; Murray, P. J.: Tryptophan and indole metabolism in immune regulation. (2021)

Oliver, C.; Chen, D.; Mallet, V.; Philippopoulos, P.; Borgwardt, K.: Approximate Network Motif Mining Via Graph Learning. (2022)

Hornauer, P.; Prack, G.; Anastasi, N.; Ronchi, S.; Kim, T.; Donner, C.; Fiscella, M.; Borgwardt, K.; Taylor, V.; Jagasia, R. et al.; Roqueiro, D.; Hierlemann, A.; Schröter, M.: Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation. (2022)

Weis, C.; Rieck, B.; Balzer, S.; Cuénod, A.; Egli, A.; Borgwardt, K.: Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification. (2022)

Morris, C.; Lipman, Y.; Maron, H.; Rieck, B.; Kriege, N. M.; Grohe, M.; Fey, M.; Borgwardt, K.: Weisfeiler and Leman go Machine Learning: The Story so far. (2021)

Moor, M.; Bennet, N.; Plecko, D.; Horn, M.; Rieck, B.; Meinshausen, N.; Bühlmann, P.; Borgwardt, K.: Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. (2021)

Moor, M.; Horn, M.; Bock, C.; Borgwardt, K.; Rieck, B.: Path Imputation Strategies for Signature Models of Irregular Time Series. (2020)