From Genomic Complexity to a 295-Gene Panel: How BIO-DGI Studies Multiple Myeloma Progression

14 minute read

Published: August 19, 2026

A beginner-friendly and technical guide to BIO-DGI, an explainable graph-learning framework used to derive a 295-gene research panel for studying the transition from MGUS to multiple myeloma.

BDL-SP: Using Bio-Inspired Deep Learning to Identify Altered Signaling Pathways in Multiple Myeloma

15 minute read

Published: August 19, 2026

A beginner-friendly and technical guide to BDL-SP, a graph-based explainable deep-learning framework for distinguishing MGUS from multiple myeloma and identifying altered genes and pathways from whole-exome sequencing data.

Mirpipe

18 minute read

Published: October 28, 2025

miRPipe: Beginner and Advanced User Guide