Craig D. Shriver

rpMeta integrates RNA-seq and proteomics data to improve sensitivity in detecting differentially expressed genes, identifying new genes and processes in lung cancer subtypes.

This study detects melanoma using serum proteome profiling and machine learning, identifying eight protein biomarkers with high diagnostic accuracy.

This study uses proteogenomics to identify ancestry-specific and shared molecular drivers in prostate cancer, revealing distinct biological programs and improving risk prediction.

The paper identifies microbiome markers in primary colorectal cancer tumors that predict distant metastasis risk using cohort data and molecular techniques.

This study identifies Candida albicans colonization in colorectal tumors as a factor linked to reduced survival and impaired radiation response.

The paper describes a modified dual preparatory method to improve RNA yield from laser microdissected human cancer tissue samples.