Dominik Heider
Affiliations: | Bioinformatics, Center of Medical Biotechnology | University of Duisburg-Essen, Germany |
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"Dominik Heider"Bio:
Department of Bioinformatics, Center of Medical Biotechnology, University of Duisburg-Essen, Universitaetsstr. 2, 45117 Essen, Germany
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Publications
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| Sperlea T, Muth L, Martin R, et al. (2020) gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning. Scientific Reports. 10: 6727 |
| Löchel HF, Heider D. (2020) Comparative analyses of error handling strategies for next-generation sequencing in precision medicine. Scientific Reports. 10: 5750 |
| Löchel HF, Eger D, Sperlea T, et al. (2020) Deep learning on chaos game representation for proteins. Bioinformatics. 36: 272-279 |
| Spänig S, Heider D. (2019) Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. Biodata Mining. 12: 1-29 |
| Löchel HF, Riemenschneider M, Frishman D, et al. (2018) SCOTCH: subtype A coreceptor tropism classification in HIV-1. Bioinformatics. 34: 2575-2580 |
| Riemenschneider M, Herbst A, Rasch A, et al. (2017) eccCL: parallelized GPU implementation of Ensemble Classifier Chains. Bmc Bioinformatics. 18: 371 |
| Riemenschneider M, Cashin KY, Budeus B, et al. (2016) Genotypic Prediction of Co-receptor Tropism of HIV-1 Subtypes A and C. Scientific Reports. 6: 24883 |
| Sierra S, Dybowski JN, Pironti A, et al. (2015) Parameters Influencing Baseline HIV-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on Maraviroc. Plos One. 10: e0125502 |
| Olejnik M, Steuwer M, Gorlatch S, et al. (2014) gCUP: rapid GPU-based HIV-1 co-receptor usage prediction for next-generation sequencing. Bioinformatics (Oxford, England). 30: 3272-3 |
| Heider D, Dybowski JN, Wilms C, et al. (2014) A simple structure-based model for the prediction of HIV-1 co-receptor tropism. Biodata Mining. 7: 14 |