Author

Phillip A Sharp

MIT

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

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Armando Solar-LezamaiD· 1 shared Bixuan Wang· 1 shared Christopher B BurgeiD· 1 shared Kavi GuptaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Armando Solar-LezamaORCID

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1 paper

Recent·Most cited

Neural RNA splicing models rely on reading frame information unavailable to the splicing machinery

Kavi Gupta, Bixuan Wang, Phillip A Sharp, Christopher B Burge, Armando Solar-Lezama

The paper shows that neural RNA splicing models rely on reading frame information that the splicing machinery cannot access, leading to errors in predicting poison exons.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics