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Biomolecular Data Science—in Honor of Professor Philip E. Bourne
Cameron Mura (editor) and Lei Xie (editor)
2023
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This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.
This book is included in DOAB.
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Keywords
- amino acids
- and graph neural network
- APOBEC
- basal cells
- binding energy
- Bioinformatics
- biological macromolecules
- Biology, Life Sciences
- Carbohydrates
- cell-type composition
- census tract
- ciliated cells
- CRISPR/Cas9
- cryogenic electron microscopy
- cryogenic electron tomography
- Data science
- deep learning
- DNA
- DNA sequencing
- Drug Discovery
- Drug Repositioning
- drugs of abuse
- electron crystallography
- Electronic Health Records
- Entropy
- fair
- function annotation
- functional families
- Genome editing
- goblet cells
- graph neural network
- immune response to smoking
- kernel classifiers
- kernel method
- KinBase classification
- KinFams
- large language models
- ligand binding sites
- lung cancers
- Machine learning
- macromolecular crystallography
- Mathematics & science
- Metagenomics
- micro-electron diffraction
- MSA
- mutational signatures
- n/a
- Nuclear magnetic resonance spectroscopy
- Nucleic acids
- off-targets
- open access
- pharmacovigilance
- Philip Bourne
- prioritization algorithm
- Protein Data Bank
- protein database
- Protein Kinases
- Proteins
- quantum machine learning
- quantum metric learning
- reaction template
- read classification
- real-world evidence
- recurrent neural network
- Reference, information & interdisciplinary subjects
- Research & information: general
- retrosynthesis
- RNA
- search tool
- SHAP values
- small-molecule ligands
- Smoking
- social determinants of health
- Social media
- specificity annotation
- structural bioinformatics
- structure-based drug discovery
- variability
- Worldwide Protein Data Bank