Ross King
Ross King är professor på avdelningen Systembiologi. Se den engelska sidan för mer information.
Visar 32 publikationer
Automating the practice of science: Opportunities, challenges, and implications
LLM-retrieval based scientific knowledge grounding
Agentic AI Integrated with Scientific Knowledge: Laboratory Validation in Systems Biology
Establishing predictive machine learning models for drug responses in patient derived cell culture
An Investigation of TDA1 Deficiency in Saccharomyces cerevisiae During Diauxic Growth
AutonoMS: Automated Ion Mobility Metabolomic Fingerprinting
Extrapolation is not the same as interpolation
Interpreting protein abundance in Saccharomyces cerevisiae through relational learning
Extrapolation is Not the Same as Interpolation
Imbalanced regression using regressor-classifier ensembles
High-throughput metabolomics for the design and validation of a diauxic shift model
The automated AI-driven future of scientific discovery
Protein-ligand binding affinity prediction exploiting sequence constituent homology
Genesis-DB: a database for autonomous laboratory systems
RIMBO - An Ontology for Model Revision Databases
Testing the reproducibility and robustness of the cancer biology literature by robot
Cross-validation is safe to use
Transformational machine learning: Learning how to learn from many related scientific problems
A Genetic Trap in Yeast for Inhibitors of SARS-CoV-2 Main Protease
Federated Ensemble Regression Using Classification
Predicting rice phenotypes with meta and multi-target learning
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat
Self-supervised learning of object slippage: An LSTM model trained on low-cost tactile sensors
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Visar 1 forskningsprojekt
Closed-loop inlärning av genome-scale metaboliska modeller med hjälp av "Robot Forskaren" Genesis