Meitar Grad

This study uses RNA-seq to analyze the transcriptomic effects of butyrate on human lymphoblastoid cell lines, identifying dysregulated genes in multiple disease-related pathways.

This paper introduces purNPE, a Bayesian deep learning framework for estimating tumor fraction in cell-free DNA without labeled cancer samples, achieving comparable performance to existing methods.

The paper shows that per-base quality scores in cfDNA whole-genome sequencing can classify cancer samples from controls with high accuracy using unsupervised analysis.