Wanting Zhang

Longitudinal Identification of Zebrafish Individuals by Deep Learning

This paper develops ESC-IDNet, a deep learning model for longitudinal zebrafish individual identification, achieving high accuracy with minimal updates.

A real-time detection and non-destructive warning method for zebrafish body surface anomalies based on improved YOLOv8 framework

This paper introduces ESC-YOLOv8-seg, a real-time, non-destructive method for detecting zebrafish surface anomalies with high accuracy and speed.

FishCODE: a web-based information platform for comprehensive omics data exploration in fish research

FishCODE provides a comprehensive multi-omics platform for fish research, offering extensive datasets and annotations to enhance data exploration and analysis.

FishSCT: a zebrafish-centric database for exploration and visualization of fish single-cell transcriptome

FishSCT provides a zebrafish-focused database with single-cell transcriptome data from zebrafish and 8 other fish species, offering marker genes and expression profiles for 245 cell types.