Transfer Learning for Cross-Species Sequence Homology Detection

Bioinformatics › Machine Learning Sequence Alignment Research

Transfer Learning for Cross-Species Sequence Homology Detection

Interns will apply transfer learning techniques to detect orthologous and paralogous sequences across diverse organisms using pre-trained language models. This research aims to improve functional annotation transfer and phylogenetic inference by leveraging representations learned from large sequence databases.

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