Weida Tong

This paper introduces TransTox, a GAN-based model that translates liver and kidney transcriptomic profiles to improve multi-organ toxicity assessment.

This paper introduces Quartet DNA reference materials to comprehensively evaluate germline variant calling accuracy across the genome, including difficult regions and batch effects.

AnimalGAN generates synthetic rat clinical pathology data to assess drug hepatotoxicity, outperforming traditional methods and aligning with human population findings.

The Quartet Data Portal provides access to multi-omics reference materials and datasets, along with tools for quality control and community integration.

The paper evaluates seven batch-effect correction algorithms for multiomic data and finds the ratio-based method is more effective, especially when batch effects are confounded with biological factors.

This paper introduces ratio-based multiomics profiling using universal reference materials to improve data integration across omics types and batches.

The paper introduces RNA reference materials and ratio-based datasets to improve the reliability and benchmarking of transcriptomic profiling.

The paper introduces a cloud-based platform called ORCESTRA for reproducible processing and sharing of multimodal biomedical data in a FAIR manner.

The paper establishes reference samples with high-coverage whole-genome sequencing to create truth sets for somatic mutation and germline variant detection using NGS technologies.

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

The paper evaluates epigenetic methods using reference materials, finding high concordance between assays and differences in performance across platforms.