Author

Noelani Phillips

University of Michigan

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

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Giulia Irene Maria PasquesiiD· 1 shared Liliana FloreaiD· 1 shared Ou CheniD· 1 shared Sarven SabunciyaniD· 1 shared Zitong HeiD· 1 shared

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Giulia Irene Maria PasquesiORCID

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1 paper

Recent·Most cited

Predicting Alu exonization in the human genome with a deep learning model

Zitong He, Ou Chen, Noelani Phillips, Giulia Irene Maria Pasquesi, Sarven Sabunciyan, Liliana Florea

The paper develops a deep learning model, eXAlu, to predict Alu exonization events in the human genome and estimates their prevalence to be 55-110K, significantly higher than in GENCODE.

bioRxiv · Jan 3, 2024 · PreprintBioinformatics