IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer’s disease markers
Understanding the genetic components of Alzheimer’s disease (AD) via transcriptome analysis often necessitates the use of invasive methods. This work focuses on overcoming the difficulties associated with the invasive process of collecting brain tissue samples in order to measure and investigate the...
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| Main Authors: | Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
|
| Series: | Machine Learning: Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/ad829d |
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