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Automation of Hemocompatibility Analysis Using Image Segmentation and a Random Forest2020 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Johanna C. Clauser, Judith Maas, Jutta Arens, Thomas Schmitz‐Rode, Ulrich Steinseifer, Benjamin Berkels
0citations -
NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencing2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Trygve E. Bakken, Jeremy A. Miller, Rebecca D. Hodge, +3 more
12citations -
Edna2iqi: An Edna/Random Forest-Based Prediction Tool that Accurately Predicts Ecological Status for Regulatory-Compliance2025 SSRN Electronic Journal preprint Environmental Science Environmental DNA in Biodiversity Studies Open access
Adam J. Wyness, Thorsten Stoeck, Barbara J. Morrissey, Iain K. Berrill, Connie Fairbairn, Tim Foster, +5 more
0citations -
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang
2citations -
Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation2024 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access
Fatemeh Fazel Hesar, Bernard H. Foing, Ana Maria Heras, Mojtaba Raouf, Victoria Foing, Shima Javanmardi, +1 more
0citations -
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing2021 Genome Research preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Mohamed Keshk, Trygve E. Bakken, Jeremy A. Miller, +4 more
96citations -
Machine Learning-aided Discovery of Novel Chemotype Antagonists for G Protein-coupled Receptors: The Case of the Adenosine A 2A Receptor2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Jonas Goßen, Rui Pedro Ribeiro, Dirk DB Bier, Bernd Neumaier, Paolo Carloni, Alejandro Giorgetti, +1 more
2citations -
Machine learning approach identifies miRNA signatures for breast cancer detection and classification from patient urine samples2024 Research Square preprint Biochemistry, Genetics and Molecular Biology MicroRNA in disease regulation Open access
Jochen Maurer, Matthias Rübner, Chao‐Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, +4 more
1citations