Sihai Dave Zhao

RESCUE recovers unattributed spatial expression patterns in ST data, improving analysis accuracy by addressing missing biological signals.

SpaceExpress detects phenotype-associated spatial gene expression differences using a neural network and spline regression across multiple spatial transcriptomics datasets.

The paper uses single-cell transcriptomics to show how genetic variants influence gene regulatory networks in honeybee brains, affecting aggression-related behaviors through specific cell populations and pathways.

The paper identifies transcriptional network disruptions in drug-resistant prostate cancer using TraRe, uncovering key regulatory modules and transcription factors associated with resistance.

The paper uses single-cell RNA sequencing to study temporal patterning in Drosophila medulla neuroblasts, identifying novel transcription factors and revealing a comprehensive gene network governing temporal progression and cell cycle exit.

The paper identifies conserved neurogenomic response toolkits across species using multi-species transcriptomic analysis and systems-level functional grouping.

This paper evaluates cross-validation techniques for gene regulatory network models, finding that clustering-based CV provides more accurate generalizability estimates than random CV.