- Life and Medical Sciences Institute (LIMES)
- Machine Learning
Reaction lumping in metabolic networks for application with thermodynamic metabolic flux analysis. Seep, L., Razaghi-Moghadam, Z., Nikoloski, Z. (2021)
Ensemble Completeness in Conformer Sampling: Small Macrocycles. Seep, L. , Bonin, A., Meier, K., Göller, A. H. (2021).
Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients. Aschenbrenner, A. C., Mouktaroudi, M., Krämer, B., Antonakos, N., Oestreich, M., Gkizeli, K., Nuesch-Germano, M., Saridaki, M., Bonaguro, L, Reusch, N., Baßler, K., Doulou, S., Knoll, R., Pecht, T., Kapellos, T. S., Rovina, N., Kröger, C., Herbert, M., Holsten, L., Horne, A., Gemünd, I. D., Agrawal, S., Dahm, K., van Uelft, M., Drews, A., Lenkeit, L., Bruse, N., Gerretsen, J., Gierlich, J., Becker, M.,Händler, K., Kraut, M., Theis, H., Mengiste, S., De Domenico, E., Schulte-Schrepping, J., Seep, L., Raabe, J., Hoffmeister, C., ToVinh, M., Keitel, V., Rieke, G., Talevi, V., Aziz, N. A., Pickkers, P., van de Veerdonk, F., Netea, M. G., Schultze, J. L., Kox, M., Breteler, M. M. B., Nattermann, J., Koutsoukou, A., Giamarellos-Bourboulis, E. J., Ulas, T., German COVID-19 Omics Initiative (DeCOI) (2021)
Structure-Permeability Relationship of Semi-Peptidic Macrocycles – Understanding and Optimizing Passive Permeability and Efflux Ratio. Le Roux, A., Blaise, E., Boudreault, P., Comeau, C., Doucet, A., Giarrusso, M., Collin, M., Neubauer, T., Koelling, F., Göller, A., Seep, L., Tshitenge, D., Wittwer, M., Kullmann, M., Hillisch, A., Mittendorf, J., Marsault, É.(2020)
Scalable prediction of acute myeloid leukemia using high-dimensional machine learning and blood transcriptomics. Warnat-Herresthal, S., Perrakis, K., Taschler, B., Becker, M., Baßler, K., Beyer, M., Günther, P., Schulte-Schrepping, J., Seep, L., Klee, K., Ulas, T., Haferlach, T., Mukherjee, S., Schultze, J.L. (2020).
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