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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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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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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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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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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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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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Analysis of Nanotoxicity with Integrated Omics and Mechanobiology
Nanomaterials, 2021 Nanoparticles (NPs) in biomedical applications have benefits owing to their small size. However, their intricate and sensitive nature makes an evaluation of the adverse effects of NPs on health necessary and challenging.
Tae Hwan Shin +10 more
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Integrating omics databases for enhanced crop breeding
Journal of Integrative Bioinformatics, 2023 Crop plant breeding involves selecting and developing new plant varieties with desirable traits such as increased yield, improved disease resistance, and enhanced nutritional value.
Chao Haoyu +8 more
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