Songjian Lu

This study uses single-nucleus RNA-sequencing and multiome data to identify neuronal mitochondrial gene suppression as a driver of Alzheimer's dementia, revealing genetic and epigenetic mechanisms underlying cognitive resilience.

The paper introduces peak2vec, a method that uses a modified convolutional neural network to infer transcriptional regulation from ATAC-seq data, showing improved performance in distinguishing TFs compared to conventional methods.

This study learns gene embeddings from biomedical literature to uncover functional relationships and improve identification of cancer driver genes and protein complexes.

This study introduces ORN, a model that infers pathway activities and functional relationships in cancer using mutation and gene expression data, identifying survival-related pathways and novel mutation mechanisms.