SOURCE-LINKED INTELLIGENCE

Meta Analyses of Heterogeneous Omics Data

CORDIS · observation · Publication date unknown

Omics studies (i.e. metabolomics for analyses of small molecule metabolites in biofluids, proteomics for similar studies of proteins, etc.) will be analysed simultaneously using highly interpretable machine learning tools. These tools will reconcile differences in experimental design, demographic compositions, and modality (samples and variables that are not directly comparable). The ultimate goal of this research will be enable new insight into disease states and measure the statistical power based on the wealth of information and replicate samples available online. This will information will be exploitable by researchers in academia and industry, and will benefit the European Research Community by making better use of the data currently available for critical projects, and enable new research directions into diseases that are either poorly treatable or understood. The framework will be evaluated by an analysis of existing data on a rare disease (narcolepsy), and a much more common disease (long COVID) to ensure that the technology scales from a relatively low volume of informatio

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recordType

award

status

TERMINATED

region

EU

value

181152.96

unit

EUR