Feng Gao

Neural Crest-Derived Endocardial Cells Required for Heart Valve Development

The paper identifies a rare population of neural crest-derived endocardial cells essential for heart valve development in mice and humans, showing their role in valve morphogenesis through Pthlh signaling.

Integrating Developmental Neurotoxicity Prediction with Adverse Outcome Pathway Reasoning

This study integrates large language models with adverse outcome pathways to predict developmental neurotoxicity and generate mechanistic explanations, showing improved performance with few-shot prompting.

FFPERescuer: deep unsupervised domain adaptation for the reconstruction of gene expression profiles derived from formalin-fixed paraffin-embedded samples

FFPERescuer uses deep learning to improve gene expression reconstruction from degraded FFPE samples, achieving high accuracy and enhancing cancer subtyping.

In Vivo Spatial Transcriptomics for Bleeding-free Profiling Human Internal Organs

This paper develops a minimally invasive in-body transcriptomics system for live spatial analysis of human internal organs, demonstrating safety and revealing distinct inflammatory patterns in Crohn's disease.

A scalable approach to inoculate plant viral vectors into plant tissue using non-pathogenic, transgenic galls

This paper demonstrates a scalable method to deliver plant viral vectors systemically using transgenic galls in citrus and Arabidopsis.

A step towards animal models with self-sustained fungal bioluminescence

The paper develops a self-sustained fungal bioluminescence system in animal models to monitor molecular events non-invasively.

Metabolically robust autoluminescent reporters

This paper introduces a method to make autoluminescent reporters robust to metabolic changes by using a reference luciferase variant to quantify gene expression independently of metabolism.

Efficient Proximal Gradient Algorithm for Inference of Differential Gene Networks

This paper introduces ProGAdNet, a proximal gradient algorithm for joint inference of differential gene networks, showing improved accuracy and speed over existing methods in identifying network changes in breast cancer data.

High-resolution DNA accessibility profiles increase the discovery and interpretability of genetic associations

The paper uses high-resolution DNA accessibility profiles to enhance the discovery and interpretability of genetic associations with autoimmune diseases.