Ryan D. Morin

This study identifies a thymus-specific B-cell differentiation program linked to thymic B-cell lymphomagenesis through single-cell multiomics and spatial profiling.

LCR-modules provides a flexible, automated suite of workflows for cancer genome analysis, supporting diverse sequencing types and enabling reproducible, scalable analysis of over 10,800 samples.

This study identifies the CCL17-CCR4 axis as a driver of therapeutic resistance in STAT6D419 mutant rrDLBCL by promoting T cell infiltration and microenvironmental changes.

The paper identifies prognostic biological subtypes in Mantle cell lymphoma based on genetic and transcriptomic analysis, revealing distinct molecular and immune features associated with different risk groups.

The paper shows Regnase-1 cleaves and uridylates NFKBIZ mRNA, enhancing its decay and linking this process to lymphoma and viral pathogenesis.

This paper identifies Mann-type DLBCL as a subtype of GCB-DLBCL characterized by oligomannose-type glycans in CDR-located AGS, associated with poor prognosis and distinct gene expression patterns.

This study identifies four molecular subtypes of Hodgkin lymphoma using multimodal data, revealing distinct clinical features and immune ecosystem dynamics.

The paper reanalyzes Reddy et al.'s 2017 DLBCL study, revealing discrepancies in mutation detection and outcome associations that render their findings non-replicable.

This paper introduces a self-training method for gene expression-based cancer classification that works across different data types and normalization methods.

This study identifies genetic drivers of mantle cell lymphoma through exome and genome sequencing, revealing novel mutations in genes involved in RNA splicing and regulation.

SUBSTRA is a Bayesian method for patient stratification that balances predictive performance and interpretability by using regularized biclustering and iterative feature weighting.

This study identifies somatic coding and regulatory variants in DLBCL, revealing novel mechanisms of oncogene deregulation and potential therapeutic targets.

The paper introduces Galaxy tools for analyzing cancer genomics data, demonstrating their use in discovering new lymphoma-related genes from a cohort of 96 diffuse large B-cell lymphomas.