Support Vector Machines (SVM) in Bioinformatics
Support Vector Machines (SVM) construct an optimal hyperplane for classifying biological data, excelling in high-dimensional, small-sample scenarios such as gene expression classification and disease diagnosis.
Machine Learning Transformers in Biology
Transformers use self-attention mechanisms to model long-range interactions in biological sequences, revolutionizing protein structure prediction and functional genomics through models like AlphaFold and DNABERT.
Machine Learning Codon Usage Analysis: Decoding Translation Preferences
Codon usage analysis examines the frequency of synonymous codons to study translation efficiency, gene expression, and evolutionary adaptation.
Sequence Analysis
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