Machine learning for rectal cancer prediction based on metabolic changes on amino acids.
José TavaresPedro BrandãoIvo BarrosJose GonçalvesIsabel PraçaLucia LacerdaMarisa SantosPublished in: CBMS (2023)
Keyphrases
- amino acids
- machine learning
- contact maps
- protein structure prediction
- contact map
- prostate cancer
- protein sequences
- physico chemical
- experimentally determined
- secondary structure
- tertiary structure
- protein structure
- secondary structure prediction
- prediction accuracy
- computational biology
- protein classification
- amino acid sequences
- cancer patients
- machine learning algorithms
- physicochemical properties
- outcome prediction
- protein folding
- coarse grained
- knowledge discovery
- sequence alignment
- information extraction
- breast cancer
- support vector machine
- protein function
- data mining
- natural language processing
- machine learning methods
- protein secondary structure prediction
- data analysis
- text mining