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Yeast sequence-to-expression model pretrained as a masked DNA language model on 165 fungal genomes, predicting RNA-seq coverage and variant effects.
Functional genomics models predicting RNA-seq, CAGE, and DNase coverage tracks from DNA sequence using striped bidirectional Mamba and attention.
Regulatory genomics model predicting cell-type-specific RNA-seq coverage from DNA sequence, unifying transcription, splicing, and polyadenylation.
Cross-species convolutional network trained jointly on human and mouse genomes to predict regulatory sequence activity and noncoding variant effects.
Dilated convolutional network that predicts cell-type-specific epigenetic and transcriptional profiles from DNA sequence across mammalian genomes.