Several types of algorithms are frequently used in bioanalytical sciences:
Machine Learning Algorithms: These include supervised, unsupervised, and reinforcement learning algorithms used for predictive modeling and classification tasks. Statistical Algorithms: Examples include regression analysis, ANOVA, and PCA (Principal Component Analysis) for data summarization and inference. Optimization Algorithms: Algorithms like genetic algorithms and simulated annealing are used for optimizing experimental conditions and model parameters. Bioinformatics Algorithms: These are specialized algorithms for sequence alignment, genome assembly, and phylogenetic analysis.
