Papers matching “machine learning library” 63
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Insight to Gene Expression From Promoter Libraries With the Machine Learning Workflow Exp2Ipynb2021 Frontiers in Bioinformatics article Biochemistry, Genetics and Molecular Biology Viral Infectious Diseases and Gene Expression in Insects Open access
Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank
11citations -
ExeKGLib: A Platform for Machine Learning Analytics Based on Knowledge Graphs2025 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks
Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhimeng Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, +1 more
0citations -
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 -
Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care2024 JAMA Network Open article Medicine Artificial Intelligence in Healthcare and Education Open access
Margot M. Rakers, Marieke Meija van Buchem, Sergej Kucenko, Anne de Hond, Ilse M.J. Kant, Maarten van Smeden, +5 more
32citations -
Deep and accurate detection of m 6 A RNA modifications using miCLIP2 and m6Aboost machine learning2020 bioRxiv (Cold Spring Harbor Laboratory) preprint 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
3citations -
Introduction to Geometric Learning in Python with Geomstats2020 Proceedings of the Python in Science Conferences conference-paper Engineering Advanced Numerical Analysis Techniques Open access
Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, +14 more
7citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, +26 more
6citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets (Ultra Large Dataset)2023 Zenodo (CERN European Organization for Nuclear Research) preprint Materials Science Machine Learning in Materials Science Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Materials Science Machine Learning in Materials Science Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Materials Science Machine Learning in Materials Science Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +19 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Materials Science Machine Learning in Materials Science Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations -
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets2023 Zenodo (CERN European Organization for Nuclear Research) preprint Materials Science Machine Learning in Materials Science Open access
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, +20 more
0citations