Fred P. Davis

The paper integrates multi-modal data to identify immune subgroups in RCC and suggests immunotherapy strategies based on distinct T cell communication networks.

The paper introduces Caris-ComBat-seq, a method to harmonize RNA-seq data by directionally adjusting batches, separating training and adjustment steps, and handling outliers, validated on large tumor datasets.

This study identifies genotype-specific immune and metabolic vulnerabilities in lung adenocarcinoma through cross-species analysis of human and mouse tumors.

This study identifies inflammation in tumor-adjacent lung tissue as a predictor of clinical outcome in lung adenocarcinoma using multi-omic analysis of 143 stage I cases.

The paper characterizes gene expression in 67 Drosophila visual system cell types using TAPIN-seq and genetic drivers, building a transcriptome resource to study neural circuit function.

The paper profiles nuclear transcriptomes of seven neuronal subtypes in Drosophila mushroom bodies, identifying specific genes and molecular features across cell types.