Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences

Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences

Abstract The breakthrough high-throughput measurement of the cis-regulatory activity of millions of randomly generated promoters provides an unprecedented opportunity to systematically decode the cis-regulatory logic that determines the expression values. We developed an end-to-end transformer encod...

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Bibliographic Details
Main Authors: Il-Youp Kwak, Byeong-Chan Kim, Juhyun Lee, Taein Kang, Daniel J. Garry, Jianyi Zhang, Wuming Gong
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Bioinformatics
Subjects:
Passively Parallel Reporter Assay (MPRA)
Macaron Transformer
Enhancer
Expression prediction
Sequence model
Online Access:https://doi.org/10.1186/s12859-024-05645-5

Internet

https://doi.org/10.1186/s12859-024-05645-5

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