Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Molecular Systems Biology, 2018 Multi‐omics studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous data sets are lacking.
Ricard Argelaguet +8 more
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Multi‐Omics Integration for Advancing Glioma Precision Medicine [PDF]
Annals of Clinical and Translational NeurologyGliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments.
Maria Guarnaccia +4 more
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Computational strategies for single-cell multi-omics integration
Computational and Structural Biotechnology Journal, 2021 Single-cell omics technologies are currently solving biological and medical problems that earlier have remained elusive, such as discovery of new cell types, cellular differentiation trajectories and communication networks across cells and tissues ...
Nigatu Adossa +3 more
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Integration strategies of multi-omics data for machine learning analysis
Computational and Structural Biotechnology Journal, 2021 Increased availability of high-throughput technologies has generated an ever-growing number of omics data that seek to portray many different but complementary biological layers including genomics, epigenomics, transcriptomics, proteomics, and ...
Milan Picard +4 more
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Multi-omics Data Integration, Interpretation, and Its Application
Bioinformatics and Biology Insights, 2020 To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to highlight the interrelationships of the involved biomolecules and their functions.
Indhupriya Subramanian +4 more
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Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery [PDF]
BiologyPrecise drug target discovery is pivotal to mitigating the escalating costs and high attrition rates that characterize pharmaceutical research and development. Given that traditional single-omics methods often fail to elucidate the systemic complexity of
Yufei Ren +4 more
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A guide to multi-omics data collection and integration for translational medicine
Computational and Structural Biotechnology Journal, 2023 The emerging high-throughput technologies have led to the shift in the design of translational medicine projects towards collecting multi-omics patient samples and, consequently, their integrated analysis.
Efi Athieniti, George M. Spyrou
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Systematic Review: Proteomics-Driven Multi-Omics Integration for Alzheimer’s Disease Pathology and Precision Medicine [PDF]
Neurology InternationalBackground: Neurodegenerative diseases remain a central topic in biomedical research, with Alzheimer’s disease (AD) being the most extensively studied. Recent advances in multi-omics integration, particularly proteomics-based approaches, have enabled a ...
Jonathan Mingsong Dong, Huan Zhong
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Adaptive multi-omics integration framework for breast cancer survival analysis [PDF]
Scientific ReportsBreast cancer remains a major global health issue, requiring novel strategies for prognostic evaluation and therapeutic decision-making. In this study, we leverage multi-omics data from The Cancer Genome Atlas to obtain deeper insights into breast cancer
Esmaeil Hasanzadeh +1 more
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Integrative Multi-Omics in Biomedical Research [PDF]
Biomolecules, 2021 Genome technologies have revolutionized biomedicine, but the complexity of biological systems cannot be explained by genomics alone [...]
Hill, Michelle M., Gerner, Christopher
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