Lajos Pusztai

This paper introduces FastBindRank, a distillation-based framework for high-fidelity virtual screening of large chemical libraries, achieving higher hit rates and discovery yields than traditional methods.

The paper introduces a dynamic clustering approach for genomics cohorts based on trait-specific genomic signals, revealing patterns beyond predefined racial or continental categories.

The paper identifies cancer-relevant genes by analyzing their proximity to core cancer genes in protein-protein interaction networks, finding that genes closer to cancer genes show greater functional importance in cancer biology.

The paper identifies genes with low mutation frequency but significant functional impact in 17 cancer types using network propagation, finding 8 previously unreported genes.

The paper identifies cancer-specific driver gene mutations associated with immunotherapy outcomes in a multi-cancer cohort of 1,525 patients.

This study evaluates the reliability of whole-exome sequencing in detecting intratumor genetic heterogeneity, finding that technical noise accounts for a significant proportion of apparent genetic differences.