| m6A RNA methylation regulates promoter-proximal pausing of RNA polymerase II J Akhtar, Y Renaud, S Albrecht, Y Ghavi-Helm, JY Roignant, M Silies, ... Molecular Cell 81 (16), 3356-3367. e6, 2021 | 53 | 2021 |
| TAF-ChIP: an ultra-low input approach for genome-wide chromatin immunoprecipitation assay J Akhtar, P More, S Albrecht, F Marini, W Kaiser, A Kulkarni, L Wojnowski, ... Life science alliance 2 (4), 2019 | 19 | 2019 |
| eSPA: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems E Vecchi, L Pospíšil, S Albrecht, TJ O'Kane, I Horenko Neural Computation 34 (5), 1220-1255, 2022 | 12 | 2022 |
| seqQscorer: automated quality control of next-generation sequencing data using machine learning S Albrecht, M Sprang, MA Andrade-Navarro, JF Fontaine Genome biology 22, 1-20, 2021 | 12 | 2021 |
| Entropic approximate learning for financial decision-making in the small data regime E Vecchi, G Berra, S Albrecht, P Gagliardini, I Horenko Research in international business and finance 65, 101958, 2023 | 5 | 2023 |
| Low-cost probabilistic 3D denoising with applications for ultra-low-radiation computed tomography I Horenko, L Pospíšil, E Vecchi, S Albrecht, A Gerber, B Rehbock, A Stroh, ... Journal of Imaging 8 (6), 156, 2022 | 4 | 2022 |
| Layer-and cell-type-specific differences in neural activity in mouse barrel cortex during a whisker detection task JR Vandevelde, JW Yang, S Albrecht, H Lam, P Kaufmann, HJ Luhmann, ... Cerebral Cortex 33 (4), 1361-1382, 2023 | 3 | 2023 |
| Computational identification of cell-specific variable regions in ChIP-seq data T Andreani, S Albrecht, JF Fontaine, MA Andrade-Navarro Nucleic Acids Research 48 (9), e53-e53, 2020 | 3 | 2020 |
| Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation S Albrecht, T Andreani, MA Andrade-Navarro, JF Fontaine Plos one 17 (7), e0270043, 2022 | 2 | 2022 |
| Interpretable machine learning models for single-cell ChIP-seq imputation S Albrecht, T Andreani, MA Andrade-Navarro, JF Fontaine BioRxiv, 2019.12. 20.883983, 2019 | 1 | 2019 |
| Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization S Albrecht, JR Vandevelde, E Vecchi, G Berra, D Bassetti, MC Stüttgen, ... bioRxiv, 2023.04. 19.537473, 2023 | | 2023 |
| Development of Bioinformatic Data Integration Strategies and Machine Learning Approaches for Sequencing-based Research with a Focus on Protein-DNA Interactions S Albrecht Johannes Gutenberg-Universität Mainz, 2020 | | 2020 |
| Automated quality control of next generation sequencing data using machine learning S Albrecht, MA Andrade-Navarro, J Fontaine | | 2019 |
