NCI Office of Data Sharing (ODS) Data Jamboree (Abstract Submissions): Submission #12

Presenter Information
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First Name: trinh









Middle Initial: {Empty}









Last Name: nguyen









Degree(s): master









Position/Title/Career Status: Bioinformatician









Organization: NIH/NCI/CGBB









Organization Address:
Rockville, MD










Email: tinh.nguyen@nih.gov









Other (Please Specify): {Empty}













Abstract Information
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Abstract Category: Development or refinement of analysis pipelines or AI/ML algorithms









Abstract Keywords: multi omics, unsupervised clustering, pathway analysis, subgroups









Abstract Title: Molecular Characterization of childhood cancer subtypes through Multi-Omics Clustering









Abstract Summary:
To recognize clinically important intrinsic cancer subtypes, it is important to combine multi-omics datasets to find multi-omics clusters, and the interrelationships between biomolecules and their functions. Here, we will use unsupervised clustering using information from at least two data types to search for subgroups of interests. Next, we will use our Multi-omics Pathways Workflow, an automated Multi-omics Workflow on the Cancer Genomics Cloud to search for activated molecular pathways for each subgroup.  The omics data could include copy number alterations, transcriptomics data, proteomics and phospho-proteomics data.The distinct pathways for subgroups found by unsupervised clustering will be displayed graphically (e.g., in heatmaps) to facilitate interpretation with clinical data.










Upload Abstract: https://events.cancer.gov/sites/default/files/webform/nci_office_of_data_sharing_abstr/144980/June1825_Abstract_MOPAW_Unsupervised_Clustering_0.docx