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Gene Prediction

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Gene Prediction

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Research Frontiers in Deep Learning Architectures for Gene Annotation

Development of convolutional and recurrent neural networks specifically optimized for accurate identification and annotation of protein-coding genes in genomic sequences.

Transformer-based Long-range Genomic Sequence Modeling

Attention Mechanisms for Multi-species Gene Boundary Detection

Graph Neural Networks in Regulatory Element Prediction

Hybrid Architectures for Splice Site Recognition

Self-supervised Learning Across Unannotated Genomes

Uncertainty Quantification in Neural Gene Annotation

Transfer Learning from Model to Non-model Organisms

Interpretable Deep Learning for Promoter Architecture Discovery

Sequence Context Embedding for Cryptic Exon Detection

Multi-modal Deep Learning Integrating Omics for Gene Calling

All Gene Prediction PhD categories