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

Submission information
Submission Number: 12
Submission ID: 144980
Submission UUID: 6f1093b0-562b-42c3-96e7-6355edda7042

Created: Wed, 06/18/2025 - 13:39
Completed: Wed, 06/18/2025 - 13:43
Changed: Wed, 06/18/2025 - 13:43

Remote IP address: 10.208.28.250
Submitted by: Anonymous
Language: English

Is draft: No
First Name trinh
Middle Initial
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)
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.
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