Publikationen von Kristina Thedinga

Turewicz, M.; Skagen, C.; Hartwig, S.; Majda, S.; Thedinga, K.; Herwig, R.; Binsch , C.; Altenhofen, D.; Ouwens, D. M.; Förster, P. M. et al.; Wachtmeister, T.; Köhrer, K.; Stermann, T.; Chadt, A.; Lehr, S.; Marschall , T.; Thoresen, G. H.; Al-Hasani, H.: Temporal phosphoproteomics reveals circuitry of phased propagation in insulin signaling. Nature Communications 16 (1), Article 1570 (2025)

Campana , P. A.; Prasse , P.; Lienhard, M.; Thedinga, K.; Herwig, R.; Scheffer , T.: Cancer drug sensitivity estimation using modular deep Graph Neural Networks. NAR: Genomics and Bioinformatics 6 (2), Article lqae043 (2024)

Bouabid, C.; Rabhi, S.; Thedinga, K.; Barel, G.; Tnani, H.; Rabhi , I.; Benkahla, A.; Herwig, R.; Guizani-Tabbane, L.: Host M-CSF induced gene expression drives changes in susceptible and resistant mice-derived BMdMs upon Leishmania major infection. Frontiers in immunology 14, 1111072 (2023)

Prasse, P.; Iversen, P.; Lienhard, M.; Thedinga, K.; Herwig, R.; Scheffer, T.: Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction. Cancers / Molecular Diversity Preservation International (MDPI) 14 (16), 3950 (2022)

Thedinga, K.; Herwig, R.: Gradient tree boosting and network propagation for the identification of pan-cancer survival networks. STAR Protocols 3 (2), 101353 (2022)

Prasse , P.; Iversen , P.; Lienhard, M.; Thedinga, K.; Bauer, C.; Herwig, R.; Scheffer, T.: Matching anticancer compounds and tumor cell lines by neural networks with ranking loss. NAR: genomics and bioinformatics 4 (1), lqab128 (2022)

Thedinga, K.; Herwig, R.: A gradient tree boosting and network propagation derived pan-cancer survival network of the tumor microenvironment. iScience 25 (1), 103617 (2021)

Thedinga, K.: Machine Learning for Cancer Survival Prediction. Dissertation (2024)