Study programme
Classes
- Data Visualization TechniquesNDBI042 | Faculty of Mathematics and Physics
- Algorithms, databases and tools in bioinformaticsNDBI044 | Faculty of Mathematics and Physics
- Project in bioinformaticsNPRG061 | Faculty of Mathematics and Physics
- Doctoral bioinformatics seminarNSWI201 | Faculty of Mathematics and Physics
Publications
- P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure2018 | Faculty of Mathematics and Physics
- Improving quality of ligand-binding site prediction with Bayesian optimization2017 | Faculty of Mathematics and Physics
- Using Neo4j for mining protein graphs: a case study2016 | Faculty of Mathematics and Physics
- Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features2015 | Faculty of Mathematics and Physics
- P2RANK: knowledge-based ligand binding site prediction using aggregated local features2015 | Faculty of Mathematics and Physics
- P2RANKPublication without faculty affiliation
- Visualizations for universal deep-feature representations: survey and taxonomy2024 | Faculty of Mathematics and Physics
- Cryptic binding site prediction with protein language models2023 | Faculty of Mathematics and Physics, Faculty of Science
- Visualization of automatically combined disease maps and pathway diagrams for rare diseases2023 | Faculty of Mathematics and Physics
- Visual Representations for Data Analytics: User Study2023 | Faculty of Mathematics and Physics
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