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Identification of kidney cell types in scRNA-seq and snRNA-seq data using machine learning algorithms2024 Heliyon article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Adam Tisch, Siddharth Madapoosi, Stephen R. Blough, Jan Rosa, Sean F. Eddy, Laura H. Mariani, +9 more
3citations -
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb2021 Frontiers in Bioinformatics article Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank
11citations -
CalcAMP: A New Machine Learning Model for the Accurate Prediction of Antimicrobial Activity of Peptides2023 Antibiotics article Immunology and Microbiology Antimicrobial Peptides and Activities Open access
Colin Bournez, Martijn Riool, Leonie de Boer, Robert A. Cordfunke, Leonie de Best, Remko van Leeuwen, +3 more
45citations -
A single-nucleotide change in the Kozak sequence enhances protein expression2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology RNA and protein synthesis mechanisms Open access
Renzo A. Knol, Tahmina Fariaby, Eveline A. de Vlieger, Alexander Kros, Bram Slütter
0citations -
Helixer: cross-species gene annotation of large eukaryotic genomes using deep learning2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Genomics and Phylogenetic Studies Open access cited by 1 patent
Felix Stiehler, Marvin Steinborn, Daniela Dey, Andreas P.M. Weber, Alisandra K. Denton
179citations -
Deep and accurate detection of m6A RNA modifications using miCLIP2 and m6Aboost machine learning2021 Nucleic Acids Research article Biochemistry, Genetics and Molecular Biology RNA modifications and cancer Open access
Nadine Körtel, Cornelia Rücklé, You Zhou, Anke Busch, Peter Hoch-Kraft, F.X. Reymond Sutandy, +12 more
126citations -
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires2021 Nature Machine Intelligence article Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, +36 more
88citations -
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards2021 Sensors article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent
Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Arnold Gillner
71citations -
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
Predicting targeted therapy resistance in non-small cell lung cancer using multimodal machine learning2025 Journal of Thoracic Disease article Medicine Lung Cancer Treatments and Mutations Open access cited by 1 patent
Peiying Hua, Andrea M. Olofson, Faraz Farhadi, Liesbeth M. Hondelink, Gregory Tsongalis, Konstantin H. Dragnev, +4 more
6citations -
Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access
Qiao Wang, Min Ye, Sehriban Celik, Zhongwei Deng, Bin Li, Dirk Uwe Sauer, +1 more
32citations -
Mapping the X-ray variability of GRS 1915 + 105 with machine learning2023 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Astrophysical Phenomena and Observations Open access
Benjamin Ricketts, James F. Steiner, Cecilia Garraffo, Ronald A. Remillard, Daniela Huppenkothen
11citations