Yiyao Zhang

Discriminating rare disease cases from their controls based on observed and excluded phenotypes

This study uses machine learning to distinguish rare disease cases from controls using observed and excluded phenotypes, finding that Random Forest performs best and both specificity and occurrence count are important for feature selection.

GatorPrism: Prototype-Conditioned Routing across Coalition Graph Experts for Spatial Multi-Omics Integration

GatorPrism integrates spatial multi-omics data by balancing cross-omics consensus with modality-specific signals, achieving strong performance across clustering metrics and revealing tissue structure organization.

Coordinate Up-regulation of Both TK1 and TS Expression in Cycling Cells: Mechanistic Basis and Implications for Dual-Targeted Cancer Therapy

The paper identifies coordinate up-regulation of TK1 and TS in cycling cells and shows it is essential for dTTP supply, supporting dual-targeted cancer therapy.

From labels to latents: revealing state-dependent hippocampal computations and non-spatial replay with Jump Latent Variable Model

This paper introduces a latent variable model to analyze hippocampal activity without external labels, revealing continuity-fragmentation dynamics and non-spatial replay in rodent behavior.

The Notch/snRNA negative feedback regulation and its implications in Alzheimer's disease

This study discovers a Notch/snRNA negative feedback regulation, linking cell signaling to RNA splicing and offering therapeutic implications for Alzheimer's disease.

Neural circuitry for maternal oxytocin release induced by infant cries

The paper identifies a neural circuit in mice that links infant cries to oxytocin neuron activation, showing how auditory cues influence maternal behavior through thalamic input.