Steven J. Schrodi

The paper applies Dynamic Quantum Clustering to glioma RNA-seq data to identify tumor states linked to diagnosis and survival without using clinical labels.

The paper analyzes the genomes of Golden Horde elites to confirm Genghis Khan's Y-chromosome haplogroup and trace their genetic ancestry.

This study evaluates genetic disease prediction methods using simulations, finding random forests most accurate, followed by logistic regression and naive Bayes, while neural networks performed worse.

The paper identifies structural variant-significant SNP pairs in high linkage disequilibrium to aid in understanding disease-associated genomic regions.

The paper identifies epistatic SNP-SNP interactions in long-range LD across five diseases using UK Biobank and eMERGE data, finding associations involving conserved genes and essential genes.

This study identifies six novel miRNA SNPs associated with rheumatoid arthritis in a Han Chinese population and shows their epistatic interactions with HLA and TNFAIP3 variants.