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Challenges in the Integration of Omics and Non-Omics Data [PDF]
Genes, 2019 Omics data integration is already a reality. However, few omics-based algorithms show enough predictive ability to be implemented into clinics or public health domains. Clinical/epidemiological data tend to explain most of the variation of health-related traits, and its joint modeling with omics data is crucial to increase the algorithm’s predictive ...
Evangelina Lopez de Maturana +2 more
exaly +5 more sources
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
doaj +3 more sources
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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Analysis of Nanotoxicity with Integrated Omics and Mechanobiology [PDF]
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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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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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
openaire +7 more sources
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
doaj +1 more source
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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Techniques for integrating -omics data [PDF]
Bioinformation, 2009 The challenge for -omics research is to tackle the problem of fragmentation of knowledge by integrating several sources of heterogeneous information into a coherent entity. It is widely recognized that successful data integration is one of the keys to improve productivity for stored data.
Siva Prasad, Akula +4 more
openaire +2 more sources