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Editorial: Multi-omic data integration [PDF]
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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Applications of multi‐omics analysis in human diseases
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
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
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
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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Integrated Multi-Omics Landscape of Liver Metastases
Lack of thorough knowledge about the complicated immune microenvironment (IM) within a variety of liver metastases (LMs) leads to inappropriate treatment and unsatisfactory prognosis. We aimed to characterize IM subtypes and investigate potential mechanisms in LMs.Mass cytometry was applied to characterize immune landscape of a primary liver cancers ...
Shuai Yang +32 more
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MSPL: Multimodal Self-Paced Learning for Multi-Omics Feature Selection and Data Integration
Rapid advances in high-throughput sequencing technology have led to the generation of a large number of multi-omics biological datasets. Integrating data from different omics provides an unprecedented opportunity to gain insight into disease mechanisms ...
Zi-Yi Yang +3 more
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A Customizable Analysis Flow in Integrative Multi-Omics [PDF]
The number of researchers using multi-omics is growing. Though still expensive, every year it is cheaper to perform multi-omic studies, often exponentially so. In addition to its increasing accessibility, multi-omics reveals a view of systems biology to an unprecedented depth.
Samuel M. Lancaster +3 more
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Integrative Multi-omics Analysis of Childhood Aggressive Behavior [PDF]
Abstract This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases = 42%), we trained single- and integrative multi-omics models to identify biomarkers for ...
Hagenbeek, Fiona +15 more
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Integrating multi-omics data for crop improvement
Our agricultural systems are now in urgent need to secure food for a growing world population. To meet this challenge, we need a better characterization of plant genetic and phenotypic diversity. The combination of genomics, transcriptomics and metabolomics enables a deeper understanding of the mechanisms underlying the complex architecture of many ...
Scossa, Federico +2 more
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