Identifying brain disease genes via integrating brain imaging and molecular network

Wei Wang, Yuxian Wang, Jiajie Peng

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Identifying genes associate to brain diseases is crucial for uncovering the related biological mechanisms and for advancing therapeutic interventions. Due to the ongoing advancements in network-based computational approaches, biological networks, especially molecular networks, provide valuable insights for predicting disease genes. However, many methods have ignored brain imaging data when exploring brain disease genes, despite its widely use in neuroscience research. In this paper, we propose a novel framework, Deep Interactive AutoEncoder (DIAE), which integrates brain imaging and molecular-based gene networks to predict brain disease genes. DIAE first constructs a gene association network based on brain imaging and high-resolution whole brain-whole gene expression data. Subsequently, a deep and interactive multi-network integration method is introduced to learn low-dimensional features of genes by combining the brain imaging-based network with other molecular-based gene networks. Finally, these features are utilized to predict brain disease genes using a support vector machine (SVM) model. For performance evaluation, we compare DIAE with three existing state-of-the-art methods in the context of disease gene identification across four brain diseases. The experimental results show the superior performance of DIAE and highlight the effectiveness of the brain imaging-based gene network for predicting brain disease genes.

源语言英语
主期刊名Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
编辑Mario Cannataro, Huiru Zheng, Lin Gao, Jianlin Cheng, Joao Luis de Miranda, Ester Zumpano, Xiaohua Hu, Young-Rae Cho, Taesung Park
出版商Institute of Electrical and Electronics Engineers Inc.
1207-1212
页数6
ISBN(电子版)9798350386226
DOI
出版状态已出版 - 2024
活动2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024 - Lisbon, 葡萄牙
期限: 3 12月 20246 12月 2024

出版系列

姓名Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

会议

会议2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
国家/地区葡萄牙
Lisbon
时期3/12/246/12/24

指纹

探究 'Identifying brain disease genes via integrating brain imaging and molecular network' 的科研主题。它们共同构成独一无二的指纹。

引用此