AIMC Topic: Multiomics
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CrossAttOmics: multiomics data integration with cross-attention.
Bioinformatics (Oxford, England)
Jun 2, 2025
MOTIVATION: Advances in high throughput technologies enabled large access to various types of omics. Each omics provides a partial view of the underlying biological process. Integrating multiple omics layers would help have a more accurate diagnosis....
Integrating Multiple Data Sources With Interactions in Multi-Omics Using Cooperative Learning.
Statistics in medicine
Jun 1, 2025
Modeling with multiomics data presents multiple challenges, such as the high dimensionality of the problem ( ), the presence of interactions between features, and the need for integration between multiple data sources. We establish an interaction mo...
Molecular landscape of endometrioid Cancer: Integrating multiomics and deep learning for personalized survival prediction.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: The endometrioid subtype of endometrial cancer is a significant health concern for women, making it crucial to study the factors influencing patient outcomes.
scDMSC: Deep Multi-View Subspace Clustering for Single-Cell Multi-Omics Data.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Single-cell multi-omics sequencing technology comprehensively considers various molecular features to reveal the complexity of cells information. The clustering analysis of multi-omics data provides new insight into cellular heterogeneity. However, m...
MLOmics: Cancer Multi-Omics Database for Machine Learning.
Scientific data
May 30, 2025
Framing the investigation of diverse cancers as a machine learning problem has recently shown significant potential in multi-omics analysis and cancer research. Empowering these successful machine learning models are the high-quality training dataset...
scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links.
Nature communications
May 29, 2025
Recent advancements in single-cell technologies have enabled comprehensive characterization of cellular states through transcriptomic, epigenomic, and proteomic profiling at single-cell resolution. These technologies have significantly deepened our u...
Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine learning, and experimental validation.
Cancer immunology, immunotherapy : CII
May 27, 2025
BACKGROUND: Chaperonin containing TCP1 subunit 5 (CCT5), a vital component of the molecular chaperonin complex, has been implicated in tumorigenesis, cancer stemness maintenance, and therapeutic resistance. Nevertheless, its comprehensive roles in pa...
Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma.
Scientific reports
May 26, 2025
Kidney renal clear cell carcinoma (KIRC), a cancer characterized by substantial immune infiltration, exhibits limited sensitivity to conventional radiochemotherapy. Although immunotherapy has shown efficacy in some patients, its applicability is not ...
Advancing optical nanosensors with artificial intelligence: A powerful tool to identify disease-specific biomarkers in multi-omics profiling.
Talanta
May 15, 2025
Multi-omics profiling integrates genomic, epigenomic, transcriptomic, and proteomic data, essential for understanding complex health and disease pathways. This review highlights the transformative potential of combining optical nanosensors with artif...
Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks.
NPJ systems biology and applications
May 8, 2025
The rapid growth of multi-omics datasets and the wealth of biological knowledge necessitates the development of effective methods for their integration. Such methods are essential for building predictive models and identifying drug targets based on a...
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