AutoPeptideML: An Automated Machine Learning Method for Building Peptide Bioactivity Predictors Leveraging Protein Language Models
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2023
- ICBG 2023
Publications
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730 results for Life Sciences
Optimizing CAR T cell design using quantum convolutional neural networks
- 2024
- ISMB 2024
Detecting Blasts with Single Cell Resolution in Acute Myeloid Leukaemia using an Auto-Encoder
- Alice Driessen
- Susane Unger
- et al.
- 2023
- ISMB 2023
Machine learning methods to predict binding of SARS-CoV-2
- Sara Capponi
- Shangying Wang
- et al.
- 2021
- AAAI-SS 2021
A perspective on quantum computing for analyzing cell-cell communication networks
- Filippo Utro
- Aritra Bose
- et al.
- 2024
- ISMB 2024
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- Raúl Fernández Díaz
- Rodrigo Cossio-pérez
- et al.
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ISMB 2024
Cross Dataset Verification of Cell Type Annotation using a Transcriptomic Biomedical Foundation Model: Inflammatory Bowel Disease Use Case
- 2024
- ISMB 2024
Contextualizing Single-Cell Analyses: An AI Pipeline for Evidence Search from Literature and Gene Databases
- 2024
- ISMB 2024
Identifying Putative Gene Markers: A Biomedical Foundation Model-based Approach for Cell Type Annotation
- Uri Kartoun
- Akira Koseki
- et al.
- 2024
- ISMB 2024