Alex J. Cornish

This study uses whole genome sequencing of endometrial cancers to identify novel subgroups, drivers, and actionable alterations, improving precision medicine approaches.

The paper identifies non-covalent inhibitors of PRDX5, a protein upregulated in MPM, through a machine learning guided pipeline and biochemical validation, suggesting it as a therapeutic target.

This paper benchmarks the Ultima UG100 and Illumina NovaSeq platforms on FFPE tissues for various sequencing modalities, finding they produce comparable results with subtle discrepancies in non-coding transcripts.

The paper introduces a machine-learning method to identify recurrent cell-cell communication patterns across tumor samples using spatial transcriptomics and single-cell data, revealing key immune and genetic programs in bladder cancer.

The paper identifies a prognostic infiltration zone in glioblastoma using histology and spatial transcriptomic integration, revealing specific cell composition associated with long-term survival.

The paper identifies chromothripsis-induced amplification of DYRK1A in blast phase MPN as a driver of aggressive disease and a potential therapeutic target.

The paper identifies a bias in VAF estimates from the Illumina Isaac aligner and introduces FixVAF to correct it, improving cancer cell fraction analysis.