Jacob Croft

The paper identifies 647 prognostic and diagnostic biomarkers for hepatocellular carcinoma (HCC) using transcriptomic data and machine learning, offering potential for improved diagnosis and treatment.

This study identifies CCA subtype-specific biomarkers through bioinformatics analysis of transcriptomic data and machine learning prediction of transcription factors.

The paper identifies 23 race-specific prognostic biomarkers for triple-negative breast cancer (TNBC) in African American and Caucasian American women using publicly available data.

The paper investigates CCM1's role in CmPn signaling networks using omics and systems biology analysis in mouse models, finding it regulates gene transcription and microvessel integrity.

The paper identifies blood biomarker signatures associated with hemorrhagic cerebral cavernous malformations through proteomic analysis and pathway enrichment.