Yuan Chen

The paper uses machine learning to identify cancer driver mutations, finding that methods incorporating protein structure or functional genomic data outperform those using only evolutionary data, and validates their predictions using real-world patient cohorts.

The paper identifies transcription termination defects at hypomethylated TTSs in Dnmt3a-deficient vertebrates using methylome and transcriptome data.

The paper analyzes structural variation in 911 human samples from 54 populations, identifying novel variants and introgressed elements, and highlights the need for diverse high-quality genomes.

This study presents 929 high-coverage human genome sequences from 54 populations, revealing new insights into genetic variation and population history.

This study uses whole-genome sequences and genotypes from Yemenis to explore their genetic diversity and its relation to the Near East, finding limited geographic structure and widespread African admixture.

This study compares gene expression profiles of leukocytes from different isolation methods, finding that RBC lysis reduces globin mRNA and improves transcriptome quality.

This study analyzes the population genomics of Cryptococcus neoformans var. grubii, revealing hybridization, biogeographic relationships, and genetic structure across global isolates.

This study uses population genomics to explore how environmental selective pressures shaped virulence traits in Cryptococcus neoformans, identifying genetic differences between clinical and environmental isolates.