Author

Shae M. Mclaughlin

University of California, San FranciscoORCID 0009-0006-1181-3631Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:multiple species· 1 Approach:transformer / foundation model· 1 Assay:whole-genome sequencing· 1

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Daniel A. LimiD· 1 shared Sajad Hamid AhangeriD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Daniel A. LimORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 27, 2024

Nucleotide GPT: Sequence-Based Deep Learning Prediction of Nuclear Subcompartment-Associated Genome Architecture

Shae M. Mclaughlin, Sajad Hamid Ahanger, Daniel A. Lim

Nucleotide GPT predicts nuclear subcompartment-associated genome architecture from DNA sequence using a transformer model, achieving high accuracy for lamina and speckle-associated domains.

DOI 10.1101/2024.11.27.625761

multiple speciesDNA methylation

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