From 919c07db452ad4c6f1d21687c4a63e947fd5c1d4 Mon Sep 17 00:00:00 2001 From: Ian Simpson Date: Wed, 13 Sep 2023 22:30:54 +0100 Subject: [PATCH] Updated post - image dir --- _posts/2023-08-02-mogdx.markdown | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/_posts/2023-08-02-mogdx.markdown b/_posts/2023-08-02-mogdx.markdown index 594246c..230c8c7 100644 --- a/_posts/2023-08-02-mogdx.markdown +++ b/_posts/2023-08-02-mogdx.markdown @@ -1,12 +1,12 @@ --- layout: post -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 --- # Multi-Omic Graph Diagnosis (MOGDx) : A data integration tool to perform classification tasks for heterogenous diseases - + #### *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). -For more information find the preprint to our paper online [here](https://www.medrxiv.org/content/10.1101/2023.07.09.23292410v1) \ No newline at end of file +For more information find the preprint to our paper online [here](https://www.medrxiv.org/content/10.1101/2023.07.09.23292410v1)