Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference

Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference

Abstract Gene regulatory network (GRN) inference, a process of reconstructing gene regulatory rules from experimental data, has the potential to discover new regulatory rules. However, existing methods often struggle to generalize across diverse cell types and account for unseen regulators. Here, th...

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Bibliographic Details
Main Authors: Guangzheng Weng, Patrick Martin, Hyobin Kim, Kyoung Jae Won
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Science
Subjects:
deep learning
gene regulatory networks
inference
large language model
temporal convolutional network
transformer
Online Access:https://doi.org/10.1002/advs.202409990
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