different biological functional levels. It is becoming evident that the integration of ‘omics’ data, such as transcriptomics, proteomics, and metabolomics, provides a better understanding of the biological system21,118. Recent work by Lee et al.119revealed the integration of metagenomics, genomics, ...
Characterization and integration of the genome, epigenome, transcriptome, proteome and metabolome of different datasets is difficult owing to a lack of ground truth. Here we develop and characterize suites of publicly available multi-omics reference materials of matched DNA, RNA, protein and metabolites...
Methods:We propose a novel multi-omics integration method, called Multi-omics Attention Deep Learning Network (MOADLN), which is used for biomedical data classification. Firstly, for each type of omics data, we use three fully-connected layers and the self-attention mechanism to reduce ...
Single-cell sequencing Gene regulatory network inference Single-cell multi-omics integration Gene regulatory networks (GRNs), which describe the regulatory connections between transcription factors (TFs) and their target genes, help researchers to investigate the gene regulatory circuits and underlying mechan...
at the Seedling Stage through the Integration of Multi-Locus GWAS, R... (N) treatments to dissect the genetic architecture of NUE-related traits using a multi-omics approach integrating genome-wide association studies (GWAS), ... BJ Soto-Cerda,G Larama,S Cloutier,... - 《International ...
For example, most integration methods do not allow for dataset-specific cell populations that might appear due to technical differences between assays or biological differences between modalities. For CCA-based methods, The road from here With little single-cell resolution paired multimodal data ...
Current multi-omics integration methods typically output lists, clusters, or subnetworks of molecules related to an outcome. Even with expert domain knowledge, discerning the biological processes involved is a time-consuming activity. Here ... C Wieder,J Cooke,C Frainay,... - 《Plos Computational...
Identification of causal variants and genes underlying genome-wide association study (GWAS) loci is essential to understand the biology of alcohol use disorder (AUD) and drinks per week (DPW). Multi-omics integration approaches have shown potential for f
Here, we present MOVICS, an R package for multi-omics integration and visualization in cancer subtyping. MOVICS provides a unified interface for 10 state-of-the-art multi-omics integrative clustering algorithms, and incorporates the most... X Lu,J Meng,Y Zhou,... - Oxford Academic 被引量...
Despite the emergence of experimental methods for simultaneous measurement of multiple omics modalities in single cells, most single-cell datasets include only one modality. A major obstacle in integrating omics data from multiple modalities is that diff