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Web-based multi-omics integration using the Analyst software suite
The growing number of multi-omics studies demands clear conceptual workflows coupled with easy-to-use software tools to facilitate data analysis and...
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Multi-omics integration identifies regulatory factors underlying bovine subclinical mastitis
BackgroundMastitis caused by multiple factors remains one of the most common and costly disease of the dairy industry. Multi-omics approaches enable...
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Progress in single-cell multimodal sequencing and multi-omics data integration
With the rapid advance of single-cell sequencing technology, cell heterogeneity in various biological processes was dissected at different omics...
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Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
Characterization and integration of the genome, epigenome, transcriptome, proteome and metabolome of different datasets is difficult owing to a lack...
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MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder
BackgroundIntegrating multi-omics data is emerging as a critical approach in enhancing our understanding of complex diseases. Innovative...
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Multiple omics levels of chronic lymphocytic leukemia
Chronic lymphocytic leukemia (CLL) is a lymphoproliferative malignancy characterized by the proliferation of functionally mature but incompetent B...
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Holomics - a user-friendly R shiny application for multi-omics data integration and analysis
An organism’s observable traits, or phenotype, result from intricate interactions among genes, proteins, metabolites and the environment. External...
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Asterics: a simple tool for the ExploRation and Integration of omiCS data
BackgroundThe rapid development of omics acquisition techniques has induced the production of a large volume of heterogeneous and multi-level omics...
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Machine Learning Approaches for Multi-omics Data Integration in Medicine
Cells are a fundamental unit of life, and the ability to study the phenotypes and behavior of cells is crucial to understanding the functioning of...
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BRANEnet: embedding multilayer networks for omics data integration
BackgroundGene expression is regulated at different molecular levels, including chromatin accessibility, transcription, RNA maturation, and...
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Metabolomics and transcriptomics based multi-omics integration reveals radiation-induced altered pathway networking and underlying mechanism
Recent advancement in integrated multi-omics has significantly contributed to many areas of the biomedical field. Radiation research has also grasped...
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Omics and Remote Homology Integration to Decipher Protein Functionality
In the recent years, several “omics” technologies based on specific biomolecules (from DNA, RNA, proteins, or metabolites) have won growing...
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DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping
Background and objectiveThe classification of glioma subtypes is essential for precision therapy. Due to the heterogeneity of gliomas, the...
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Machine Learning from Multi-omics: Applications and Data Integration
Multi-omics data from genomics representing molecular, metabolomic, transcriptomic, proteomic, or interatomic cell measurements constitute fertile...
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Machine Learning Methods for Multi-Omics Data Integration
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as...
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Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss
BackgroundSingle-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types....
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Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
Despite the emergence of experimental methods for simultaneous measurement of multiple omics modalities in single cells, most single-cell datasets...
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Rethinking underutilized cereal crops: pan-omics integration and green system biology
Main conclusionDue to harsh lifestyle changes, in the present era, nutritional security is needed along with food security so it is necessary to...
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MyeloDB: a multi-omics resource for multiple myeloma
Multiple myeloma (MM) is a common type of blood cancer affecting plasma cells originating from the lymphoid B-cell lineage. It accounts for about 10%...
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Deciphering spatial domains from spatial multi-omics with SpatialGlue
Advances in spatial omics technologies now allow multiple types of data to be acquired from the same tissue slice. To realize the full potential of...
