Richard A. Scolyer

Federated deep learning enables cancer subtyping by proteomics

ProCanFDL uses federated deep learning to subtype cancers using proteomic data while preserving privacy, achieving performance gains over local models.

Cross-Platform Omics Prediction procedure enables precision medicine in patients with stage-III melanoma

The paper introduces a method to handle omics data variation across platforms and times, showing its use in three disease risk models for clinical application.

Tumour gene expression signature in primary melanoma predicts long-term outcomes: A prospective multicentre study

This paper develops a gene expression signature, Cam_121, to predict long-term outcomes in primary melanoma patients, showing improved accuracy compared to clinical and existing prognostic models.

Hotspot KRAS mutations in brain metastases at the first metastatic recurrence of cutaneous melanoma

This study identifies hotspot KRAS mutations as enriched in early brain metastases of melanoma, associated with worse survival and clonal origin, suggesting potential for risk stratification.

bcGST - an interactive bias-correction method to identify over-represented gene-sets in boutique arrays

bcGST corrects bias in gene set tests for boutique arrays by adjusting Fisher's Exact Test to account for incomplete genome coverage.