A comprehensive targeted panel of 295 genes: Unveiling key disease initiating and transformative biomarkers in multiple myeloma

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Vivek Ruhela, Ritu Gupta, Rupin Oberoi, Anubha Gupta

Published: 01 Sept 2025, Last Modified: 10 Nov 2025Computers in Biology and MedicineEveryoneRevisionsCC BY-SA 4.0
Abstract: Highlights•BIO-DGI identifies MM biomarkers using graph learning and PPI integration.•Integrates SNVs, CNVs, SVs, and LoF data from MM and MGUS WES cohorts.•Outperforms ML/DL baselines with 96.7% accuracy and high interpretability.•Proposes a validated 295-gene panel for MM.•Discovers Disease-Initiating and Disease-Transformative genes in MM.