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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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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A Graph-Based Deep Learning Framework with Gating and Omics-Linked Attention for Multi-Omics Integration and Biomarker Discovery [PDF]
BiologyIntegration of multi-omics data provides a comprehensive perspective on complex biological systems, facilitating advances in disease classification and biomarker discovery.
Zhanpeng Huang +3 more
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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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Multi-omics integration in deciphering non-small cell lung cancer drug resistance: current status, challenges, and future prospects [PDF]
HereditasLung cancer is the leading cause of cancer-related deaths globally. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, and drug resistance severely undermines treatment efficacy.
Jidong Miao +5 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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Applications of multi‐omics analysis in human diseases
MedComm, 2023 Multi‐omics usually refers to the crossover application of multiple high‐throughput screening technologies represented by genomics, transcriptomics, single‐cell transcriptomics, proteomics and metabolomics, spatial transcriptomics, and so on, which play ...
Chongyang Chen +9 more
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Applications of Multi-Omics Technologies for Crop Improvement
Frontiers in Plant Science, 2021 Multiple “omics” approaches have emerged as successful technologies for plant systems over the last few decades. Advances in next-generation sequencing (NGS) have paved a way for a new generation of different omics, such as genomics, transcriptomics, and
Yaodong Yang +9 more
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scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration
Nature Communications, 2023 Single-cell multi-omics data integration aims to reduce the omics difference while keeping the cell type difference. However, it is daunting to model and distinguish the two differences due to cell heterogeneity.
Yunfan Li +8 more
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Network approaches for omics studies of neurodegenerative diseases
Frontiers in Genetics, 2022 The recent methodological advances in multi-omics approaches, including genomic, transcriptomic, metabolomic, lipidomic, and proteomic, have revolutionized the research field by generating “big data” which greatly enhanced our understanding of the ...
Na Zhao +3 more
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