Results 11 to 20 of about 109,057 (295)
Data Integration in Poplar: ‘Omics Layers and Integration Strategies [PDF]
Frontiers in Genetics, 2019 Populus trichocarpa is an important biofuel feedstock that has been the target of extensive research and is emerging as a model organism for plants, especially woody perennials. This research has generated several large ‘omics datasets. However, only few
Deborah Weighill +6 more
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Editorial: Multi-omic data integration [PDF]
Frontiers in Cell and Developmental Biology, 2015 As researchers involved in molecular biology, we are witnessing tremendous paradigm changes in a time frame that becomes shorter and shorter. The epoch-making notion, originally put forward by the central dogma of biology (Crick, 1970), that there is a unidirectional process and a privileged level (genetic) of causality at which biological functions ...
Christine eNardini +3 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
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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-modal intermediate integrative methods in neuropsychiatric disorders: A review
Computational and Structural Biotechnology Journal, 2022 The etiology of neuropsychiatric disorders involves complex biological processes at different omics layers, such as genomics, transcriptomics, epigenetics, proteomics, and metabolomics.
Yanlin Wang +5 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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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 López de Maturana +7 more
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Editorial: Multi-omic Data Integration in Oncology [PDF]
Frontiers in Oncology, 2020 Non peer ...
Finotello, Francesca +4 more
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Network-based integration of multi-omics data for clinical outcome prediction in neuroblastoma
Scientific Reports, 2022 Multi-omics data are increasingly being gathered for investigations of complex diseases such as cancer. However, high dimensionality, small sample size, and heterogeneity of different omics types pose huge challenges to integrated analysis. In this paper,
Conghao Wang +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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