Our study identifies reference-free ‘absolute’ feature quantification as the root cause of irreproducibility in multi-omics measurement and data integration and establishes the advantages of ratio-based multi-omics profiling with common reference materials....
the rationale for ‘multi-omics’ and multi-omics data integration platforms supporting probiotics and microbiome analyses was also elucidated. This review showed that multi-omics application is useful in
First, using random forest-based feature selection method multi-omics data are integrated to identify key regulatory factors that affect gene expression, and then genome-wide regulatory networks are constructed. Next, by comparing the regulatory networks of key candidate genes in variant samples and ...
Current methods for unpaired multimodal single-cell data integration aim to discover cell-to-cell or population-to-population correspondence between modalities profiled by different assays (Table 1). It has been suggested that an integration will allow for a more precise characterization of cellular st...
Here, we present NetICS (Network-based Integration of Multi- omics Data), a cancer gene prioritization method that provides a general computational framework for integrating diverse data types on a directed functional interaction network. NetICS is able to inte- grate different types of aberration eve...
In order to find genetic and metabolic pathways related to phenotypic traits of interest, we analyzed gene expression data, metabolite data obtained with GC-MS and LC-MS, proteomics data and a selected set of tuber quality phenotypic data from a diploid segregating mapping population of potato. ...
The increase in available high-throughput molecular data creates computational challenges for the identification of cancer genes. Genetic as well as non-genetic causes contribute to tumorigenesis, and this necessitates the development of predictive models to effectively integrate different data modalities whi...
Aspect Analytics enables breakthrough research and facilitates cross-disciplinary teamwork by bringing multi-omics data into a single view, collaborative platform.
Graph-linked unified embedding for single-cell multi-omics data integration For more details, please check out ourpublication. Directory structure .├── scglue # Main Python package ├── data # Data files ├── evaluation # Method evaluation pipelines ├── experiments # Experiments and case...
et al. Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms. Nat Mach Intell 3, 513–526 (2021). https://doi.org/10.1038/s42256-021-00325-y Download citation Received21 July 2020 Accepted18 February 2021 ...