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In silico modeling of targeted protein degradation
Targeted protein degradation (TPD) techniques, particularly proteolysis-targeting chimeras
(PROTAC) and molecular glue degraders (MGD), have offered novel strategies in drug …
(PROTAC) and molecular glue degraders (MGD), have offered novel strategies in drug …
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
AR Baião, Z Cai, RC Poulos, PJ Robinson… - ar** using limited multi-omics data with missingness
Y Bu, J Liang, Z Li, J Wang, J Wang… - PLOS Computational …, 2024 - journals.plos.org
Diagnosing cancer subtypes is a prerequisite for precise treatment. Existing multi-omics data
fusion-based diagnostic solutions build on the requisite of sufficient samples with complete …
fusion-based diagnostic solutions build on the requisite of sufficient samples with complete …
A deep contrastive multi-modal encoder for multi-omics data integration and analysis
Cancer is a highly complex and fatal disease that affects various human organs. Early and
accurate cancer analysis is crucial for timely treatment, prognosis, and understanding of the …
accurate cancer analysis is crucial for timely treatment, prognosis, and understanding of the …
[HTML][HTML] SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data
Alzheimer's disease (AD) is a chronic neurodegenerative disorder and the leading cause of
dementia, significantly impacting cost, mortality, and burden worldwide. The advent of high …
dementia, significantly impacting cost, mortality, and burden worldwide. The advent of high …
A Multimodal Foundation Model for Discovering Genetic Associations with Brain Imaging Phenotypes
Due to the intricate etiology of neurological disorders, finding interpretable associations
between multi-omics features can be challenging using standard approaches. We propose …
between multi-omics features can be challenging using standard approaches. We propose …
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification
J Shang, L Zhang, L Zhao, X He, Y Zhao, D Ge… - … on Intelligent Computing, 2024 - Springer
Integration of multi-omics data is essential for obtaining comprehensive insights into
molecular mechanisms of complex diseases. While several methods have been proposed …
molecular mechanisms of complex diseases. While several methods have been proposed …