| mirDIP 4.1—integrative database of human microRNA target predictions T Tokar, C Pastrello, AEM Rossos, M Abovsky, AC Hauschild, M Tsay, ... Nucleic acids research 46 (D1), D360-D370, 2018 | 556 | 2018 |
| Current breathomics—a review on data pre-processing techniques and machine learning in metabolomics breath analysis A Smolinska, AC Hauschild, RRR Fijten, JW Dallinga, J Baumbach, ... Journal of breath research 8 (2), 027105, 2014 | 225 | 2014 |
| Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research F Hufsky, K Lamkiewicz, A Almeida, A Aouacheria, C Arighi, A Bateman, ... Briefings in bioinformatics 22 (2), 642-663, 2021 | 155 | 2021 |
| Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning Y Ren, T Chakraborty, S Doijad, L Falgenhauer, J Falgenhauer, ... Bioinformatics 38 (2), 325-334, 2022 | 113 | 2022 |
| GWAS-based machine learning approach to predict duloxetine response in major depressive disorder M Maciukiewicz, VS Marshe, AC Hauschild, JA Foster, S Rotzinger, ... Journal of psychiatric research 99, 62-68, 2018 | 88 | 2018 |
| Classification of breast cancer subtypes by combining gene expression and DNA methylation data M List, AC Hauschild, Q Tan, TA Kruse, J Baumbach, R Batra Journal of integrative bioinformatics 11 (2), 1-14, 2014 | 85 | 2014 |
| Federated Random Forests can improve local performance of predictive models for various healthcare applications AC Hauschild, M Lemanczyk, J Matschinske, T Frisch, O Zolotareva, ... Bioinformatics 38 (8), 2278-2286, 2022 | 67 | 2022 |
| Integrated statistical learning of metabolic ion mobility spectrometry profiles for pulmonary disease identification AC Hauschild, JI Baumbach, J Baumbach | 57 | 2012 |
| Volatile organic compounds during inflammation and sepsis in rats: a potential breath test using ion-mobility spectrometry T Fink, A Wolf, F Maurer, F Albrecht, N Heim, B Wolf, AC Hauschild, ... Anesthesiology: the journal of the American Society of Anesthesiologists 122 …, 2015 | 50 | 2015 |
| Interleukin-6 gene expression changes after a 4-week intake of a multispecies probiotic in major depressive disorder—Preliminary Results of the PROVIT Study A Reiter, SA Bengesser, AC Hauschild, AM Birkl-Töglhofer, FT Fellendorf, ... Nutrients 12 (9), 2575, 2020 | 48 | 2020 |
| Computational methods for metabolomic data analysis of ion mobility spectrometry data—reviewing the state of the art AC Hauschild, T Schneider, J Pauling, K Rupp, M Jang, JI Baumbach, ... Metabolites 2 (4), 733-755, 2012 | 48 | 2012 |
| Peak detection method evaluation for ion mobility spectrometry by using machine learning approaches AC Hauschild, D Kopczynski, M D’Addario, JI Baumbach, S Rahmann, ... Metabolites 3 (2), 277-293, 2013 | 46 | 2013 |
| Two different approaches for pharmacokinetic modeling of exhaled drug concentrations S Kreuer, A Hauschild, T Fink, JI Baumbach, S Maddula, T Volk Scientific Reports 4 (1), 5423, 2014 | 35 | 2014 |
| MirDIP 5.2: tissue context annotation and novel microRNA curation AC Hauschild, C Pastrello, GKA Ekaputeri, D Bethune-Waddell, ... Nucleic Acids Research 51 (D1), D217-D225, 2023 | 34 | 2023 |
| Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response VS Marshe, M Maciukiewicz, AC Hauschild, F Islam, L Qin, AK Tiwari, ... Translational psychiatry 11 (1), 127, 2021 | 32 | 2021 |
| Fractal construction of constrained code words for DNA storage systems HF Löchel, M Welzel, G Hattab, AC Hauschild, D Heider Nucleic acids research 50 (5), e30-e30, 2022 | 29 | 2022 |
| CORDITE: the curated CORona drug InTERactions database for SARS-CoV-2 R Martin, HF Loechel, M Welzel, G Hattab, AC Hauschild, D Heider Iscience 23 (7), 2020 | 28 | 2020 |
| Analysis of a deep learning model for 12-lead ECG classification reveals learned features similar to diagnostic criteria T Bender, JM Beinecke, D Krefting, C Müller, H Dathe, T Seidler, ... IEEE Journal of Biomedical and Health Informatics 28 (4), 1848-1859, 2023 | 25 | 2023 |
| Integrative analysis of next-generation sequencing for next-generation cancer research toward artificial intelligence Y Park, D Heider, AC Hauschild Cancers 13 (13), 3148, 2021 | 24 | 2021 |
| Carotta: revealing hidden confounder markers in metabolic breath profiles AC Hauschild, T Frisch, JI Baumbach, J Baumbach Metabolites 5 (2), 344-363, 2015 | 24 | 2015 |
Jan BaumbachInstitute for Computational Systems Biology, University of HamburgVerified email at cosy.bio
