| EDGAR 2.0: an enhanced software platform for comparative gene content analyses J Blom, J Kreis, S Spänig, T Juhre, C Bertelli, C Ernst, A Goesmann Nucleic acids research 44 (W1), W22-W28, 2016 | 328 | 2016 |
| The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes S Spänig, A Emberger-Klein, JP Sowa, A Canbay, K Menrad, D Heider Artificial Intelligence in Medicine 100, 101706, 2019 | 75 | 2019 |
| Encodings and models for antimicrobial peptide classification for multi-resistant pathogens S Spänig, D Heider BioData mining 12 (1), 1-29, 2019 | 60 | 2019 |
| A large-scale comparative study on peptide encodings for biomedical classification S Spänig, S Mohsen, G Hattab, AC Hauschild, D Heider NAR Genomics and Bioinformatics 3 (2), lqab039, 2021 | 14 | 2021 |
| Males, the Wrongly Neglected Partners of the Biologically Unprecedented Male–Female Interaction of Schistosomes Z Lu, S Spänig, O Weth, CG Grevelding Frontiers in genetics 10, 2019 | 12 | 2019 |
| Multivalent binding kinetics resolved by fluorescence proximity sensing C Schulte, A Soldà, S Spänig, N Adams, I Bekić, W Streicher, D Heider, ... Communications biology 5 (1), 1070, 2022 | 3 | 2022 |
| A multi-omics study on quantifying antimicrobial resistance in European freshwater lakes S Spänig, L Eick, JK Nuy, D Beisser, M Ip, D Heider, J Boenigk Environment International 157, 106821, 2021 | 2 | 2021 |
| Unsupervised encoding selection through ensemble pruning for biomedical classification S Spänig, A Michel, D Heider BioData Mining 16 (1), 10, 2023 | | 2023 |
| A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification G Hattab, A Anžel, S Spänig, N Neumann, D Heider NAR Genomics and Bioinformatics 5 (1), lqac103, 2023 | | 2023 |
