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_posts/2023-08-02-mogdx.markdown

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-title:  "SFARI Genes and How to Find Them"
+title:  "Multi-Omic Graph Diagnosis (MOGDx) : A data integration tool to perform classification tasks for heterogenous diseases"
 date:   2023-08-02 09:00:00 +0000
 categories: research
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 # Multi-Omic Graph Diagnosis (MOGDx) : A data integration tool to perform classification tasks for heterogenous diseases
-<img style="margin-left: 2rem" align="right" src="/tsimpson/assets/pipeline.jpg" width = "500px" >
+<img style="margin-left: 2rem" align="right" src="/assets/pipeline.jpg" width = "500px" >
 
 #### *Barry Ryan , Riccardo Marioni and T. Ian Simpson*
 
@@ -22,4 +22,4 @@ MOGDx incorporates a network taxonomy for data integration and utilises a graph
 The performance of MOGDx was benchmarked on three distinct datasets from The Cancer Genome Atlas ([TCGA](https://www.cancer.gov/ccg/research/genome-sequencing/tcga)) for breast invasive carcinoma, kidney cancer, and low grade glioma. MOGDx demonstrated state-of-the-art performance and an ability to identify relevant multi-omic markers in each task. It did so while integrating more genomic measures with greater patient coverage compared to other network integrative methods. MOGDx is available to download from [Github](https://github.com/biomedicalinformaticsgroup/MOGDx). 
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-For more information find the preprint to our paper online [here](https://www.medrxiv.org/content/10.1101/2023.07.09.23292410v1)
+For more information find the preprint to our paper online [here](https://www.medrxiv.org/content/10.1101/2023.07.09.23292410v1)