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- HDRUK19
- Bioimage analysis4
- Electron microscopy4
- Light microscopy4
- Machine learning models4
- Scientific computing4
- BioImage Archive2
- BioStudies Database2
- Data integration2
- Deep learning2
- Electron Microscopy Public Image Archive - EMPIAR2
- Logic modelling2
- MOFA2
- Multi-Omics Factor Analysis2
- Network inference2
- Artificial intelligence1
- CAPITAL project1
- Cell-level simulations1
- ChEMBL: Bioactive data for drug discovery1
- Crop improvement1
- Data protection1
- Europe PubMed Central1
- GPU1
- Literature (literature)1
- Open source code1
- Open source tool1
- Pangenomes1
- Pangenomics1
- PerMedCoE1
- Personalised medicine1
- Plant webinar series1
- Protein Data Bank in Europe1
- Single cell1
- Systems (Systems)1
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Scientific topic
- Supervised learning
- Bioinformatics799
- Genome annotation238
- Exomes235
- Genomes235
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- Biological modelling231
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- Systems biology231
- Systems modelling231
- Biomedical research194
- Clinical medicine194
- Experimental medicine194
- General medicine194
- Internal medicine194
- Medicine194
- Bottom-up proteomics138
- Discovery proteomics138
- MS-based targeted proteomics138
- MS-based untargeted proteomics138
- Metaproteomics138
- Peptide identification138
- Protein and peptide identification138
- Proteomics138
- Quantitative proteomics138
- Targeted proteomics138
- Top-down proteomics138
- Data visualisation116
- Data rendering109
- Aerobiology82
- Behavioural biology82
- Biological rhythms82
- Biological science82
- Biology82
- Chronobiology82
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- Reproductive biology82
- Data mining75
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- Comparative transcriptomics62
- Transcriptome62
- Transcriptomics62
- Computational pharmacology60
- Pharmacoinformatics60
- Pharmacology60
- Exometabolomics56
- LC-MS-based metabolomics56
- MS-based metabolomics56
- MS-based targeted metabolomics56
- MS-based untargeted metabolomics56
- Mass spectrometry-based metabolomics56
- Metabolites56
- Metabolome56
- Metabolomics56
- Metabonomics56
- NMR-based metabolomics56
- Immunology49
- Functional genomics43
- Data management34
- Metadata management34
- Research data management (RDM)34
- Active learning31
- Ensembl learning31
- Kernel methods31
- Knowledge representation31
- Machine learning31
- Neural networks31
- Recommender system31
- Reinforcement learning31
- Unsupervised learning31
- Biomathematics29
- Computational biology29
- Disease29
- Epigenomics29
- Mathematical biology29
- Pathology29
- Theoretical biology29
- Protein bioinformatics27
- Protein databases27
- Protein informatics27
- Proteins27
- Metagenomics25
- Shotgun metagenomics25
- Protein structure24
- Bioimaging21
- Biological imaging21
- Cloud computing20
- Computer science20
- HPC20
- High performance computing20
- High-performance computing20
- Antimicrobial stewardship19
- Electrophysiology19
- Medical microbiology19
- Microbial genetics19
- Microbial physiology19
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- Workshops and courses31
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- United Kingdom22
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Target audience
- Institutions and other external Institutions or individuals19
- Postdocs and Staff members from the University of Cambridge19
- Graduate students17
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.13
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- Students and researchers from life-sciences or biomedical backgrounds2
- The course is open to Graduate students2
- or will shortly have2
- the need to apply the techniques presented during the course to biomedical data.2
- who have2
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £175. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £400. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £200. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- Plant research1
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