Ken Chen

This study identifies two distinct LAM subtypes and their microenvironmental interactions using multi-omics and spatial transcriptomics, revealing key regulatory networks and potential therapeutic targets.

This study shows that aging in Arabidopsis thaliana causes DNA methylation decay and transposable element expression, with a gene regulatory program controlling the rate of epigenetic loss.

The paper identifies a proteolytic mechanism in C. elegans that enables transgenerational epigenetic inheritance by processing Argonautes in germ granule subcompartments.

The paper evaluates variant effect predictions for ARSA gene variants, finding that a bootcamp-trained model outperformed others and that deep learning slightly improved performance over simpler methods.

This study introduces SpliceBERT, a self-supervised pre-trained language model for RNA splicing prediction, showing improved performance in variant effect prediction and cross-species splice site identification.

TransEPI improves enhancer-promoter interaction prediction by using a Transformer model to capture long-range genomic dependencies across different cell types and chromosomes.