Melissa A. Troester

This study identifies molecular differences in HR+ breast cancer between Black and White women, linking structural factors like poverty to tumor biology and immune signatures.

This paper develops polygenic risk scores for breast cancer prediction in women of African ancestry by combining African and European ancestry datasets, improving prediction accuracy.

The paper investigates race-specific germline genetic associations with breast cancer recurrence scores using GReX and finds differential associations between germline variants and CRS in Black and White patients.

DeCompress improves deconvolution of targeted mRNA panels by expanding feature space with reference data, achieving better cell-type proportion estimation and identifying a tumor-specific cis-eQTL for CCR3.

This paper develops a normalization and quality control approach for NanoString RNA data, showing improved handling of technical variation without loss of biological variation.