Kristina Thedinga
Overview
Explore the profile of Kristina Thedinga including associated specialties, affiliations and a list of published articles.
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7
Citations
23
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Recent Articles
1.
Turewicz M, Skagen C, Hartwig S, Majda S, Thedinga K, Herwig R, et al.
Nat Commun
. 2025 Feb;
16(1):1570.
PMID: 39939313
Insulin is a pleiotropic hormone that elicits its metabolic and mitogenic actions through numerous rapid and reversible protein phosphorylations. The temporal regulation of insulin's intracellular signaling cascade is highly complex...
2.
Campana P, Prasse P, Lienhard M, Thedinga K, Herwig R, Scheffer T
NAR Genom Bioinform
. 2024 Apr;
6(2):lqae043.
PMID: 38680251
Computational drug sensitivity models have the potential to improve therapeutic outcomes by identifying targeted drugs components that are tailored to the transcriptomic profile of a given primary tumor. The SMILES...
3.
Bouabid C, Rabhi S, Thedinga K, Barel G, Tnani H, Rabhi I, et al.
Front Immunol
. 2023 May;
14:1111072.
PMID: 37187743
Leishmaniases are a group of diseases with different clinical manifestations. Macrophage- interactions are central to the course of the infection. The outcome of the disease depends not only on the...
4.
Prasse P, Iversen P, Lienhard M, Thedinga K, Herwig R, Scheffer T
Cancers (Basel)
. 2022 Aug;
14(16).
PMID: 36010942
Large-scale databases that report the inhibitory capacities of many combinations of candidate drug compounds and cultivated cancer cell lines have driven the development of preclinical drug-sensitivity models based on machine...
5.
Thedinga K, Herwig R
STAR Protoc
. 2022 May;
3(2):101353.
PMID: 35509973
Cancer survival prediction is typically done with uninterpretable machine learning techniques, e.g., gradient tree boosting. Therefore, additional steps are needed to infer biological plausibility of the predictions. Here, we describe...
6.
Thedinga K, Herwig R
iScience
. 2022 Feb;
25(1):103617.
PMID: 35106465
Predicting cancer survival from molecular data is an important aspect of biomedical research because it allows quantifying patient risks and thus individualizing therapy. We introduce XGBoost tree ensemble learning to...
7.
Prasse P, Iversen P, Lienhard M, Thedinga K, Bauer C, Herwig R, et al.
NAR Genom Bioinform
. 2022 Jan;
4(1):lqab128.
PMID: 35047818
Computational drug sensitivity models have the potential to improve therapeutic outcomes by identifying targeted drug components that are likely to achieve the highest efficacy for a cancer cell line at...
8.
Schneider L, Kehl T, Thedinga K, Grammes N, Backes C, Mohr C, et al.
Bioinformatics
. 2019 May;
35(24):5171-5181.
PMID: 31038669
Motivation: Breast cancer is the second leading cause of cancer death among women. Tumors, even of the same histopathological subtype, exhibit a high genotypic diversity that impedes therapy stratification and...