Yuanyan Xiong

OmicOS provides an agent-operable omics ecosystem that enables AI systems to execute and verify analyses using community methods, achieving high performance in benchmark tasks.

The paper identifies silencer-linked RNAs in leukemia, showing they hijack FOXP1 to enhance MYC oncogene expression and promote cancer progression.

The paper develops a computational framework to analyze RNA editing in cancer, identifying functions and biomarkers for immunotherapy.

OmicVerse integrates bulk and single-cell RNA-seq analysis with a pipeline that restores continuity in interrupted single-cell data using Beta-Variational AutoEncoder and graph neural networks.

This paper introduces scLTNN, a method for automatically inferring origin and end cell states and developmental trajectories from scRNA-seq data with low computational cost.

The paper reanalyzes CRISPR-Cas9 data to show p53-dependent sex bias in cancer cell lines, highlighting genes and factors involved in this effect.

This study identifies genomic changes driving cemented attachment and left-right shell asymmetry in oysters by comparing genomes and transcriptomes of bivalve species.

This study predicts immune-related adverse events and objective response rates to anti-PD-1/PD-L1 therapy using enhancer RNA expression, identifying key regulatory genes involved in immune responses.