Brian A. Walker

This study uses SCID-rab PDX models to analyze genomic and transcriptomic features of multiple myeloma, revealing selection of pre-existing high-risk clones.

The paper identifies novel immunotherapeutic targets in multiple myeloma high-risk subgroups using genomic data integration and validation.

The paper identifies H3K4me3 broad domains formed by super-enhancer translocations in B-cell and T-cell malignancies, linking them to oncogene activation.

DEGAS transfers disease information from patients to cells using deep transfer learning, identifying PHF19high myeloma cells linked to progression.

The paper uses polymer simulations to study chromatin structure changes at genomic rearrangements in B-cells and shows how these changes affect proto-oncogene expression.

The paper develops a targeted sequencing panel for paediatric solid tumours and validates its sensitivity and specificity across various sample types.