Frank Lawrence Nii Adoquaye Acquaye
- Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Research Assistant:Faculty of Computer Science / Laboratory on AI for Computational Biology
- Frank Lawrence Nii Adoquaye Acquaye has been at HSE University since 2020.
Postgraduate Studies
3rd year of study
Approved topic of thesis: A deep neural network for annotation of tandem mass spectrometry data.
Academic Supervisor: Kertesz-Farkas, Attila
Publications3
- Article Acquaye F. L., Kertesz-Farkas A., Stafford Noble W. Efficient indexing of peptides for database search using Tide // Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584. doi
- Chapter Frank Lawrence Acquaye, Latypov I., Attila Kertész-Farkas. Hypernym Information and Sentiment Bias Probing in Distributed Data Representation, in: ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and Computing. NY : Association for Computing Machinery (ACM), 2023. doi P. 221-226. doi
- Article Kertesz-Farkas A., Acquaye F. L., Kishankumar Bhimani, English J. K., Fondrie W. E., Grant C., Hoopmann M. R., Lin A., Lu Y. Y., Moritz R. L., MacCoss M. J., Noble W. S. The Crux toolkit for analysis of bottom-up tandem mass spectrometry proteomics data // Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 561-569. doi