Xu, Joshua

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

Wang, C., Gong, B., Bushel, P. R., Thierry-Mieg, J., Thierry-Mieg, D., Xu, J., Fang, H., Hong, H., Shen, J., Su, Z., et al. (2014) · Nature Biotechnology

Gene expression and cancer classificationGenomics and Phylogenetic Studies

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Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

Zhang, W., Yu, Y., Hertwig, F., Thierry-Mieg, J., Zhang, W., Thierry-Mieg, D., Wang, J., Furlanello, C., Devanarayan, V., Cheng, J., et al. (2015) · Genome Biology

Gene expression and cancer classificationNeuroblastoma Research and Treatments

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Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA

Wu, L., Ingle, T., Liu, Z., Zhao-Wong, A., Harris, S., Thakkar, S., Zhou, G., Yang, J., Xu, J., Mehta, D., et al. (2019) · BMC Bioinformatics

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

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FDA drug labeling: rich resources to facilitate precision medicine, drug safety, and regulatory science

Fang, H., Harris, S. C., Liu, Z., Zhou, G., Zhang, G., Xu, J., Rosario, L., Howard, P. C., & Tong, W. (2016) · Drug Discovery Today

Pharmacovigilance and Adverse Drug ReactionsPharmaceutical industry and healthcare

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Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel

Wu, L., Fang, H., Qu, Y., Xu, J., & Tong, W. (2025) · Drug Safety

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

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FDALabel for drug repurposing studies and beyond

Fang, H., Harris, S., Liu, Z., Thakkar, S., Yang, J., Ingle, T., Xu, J., Lesko, L., Rosario, L., & Tong, W. (2020) · Nature Biotechnology

Computational Drug Discovery MethodsPharmacovigilance and Adverse Drug Reactions

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A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document

Wu, L., Xu, J., Thakkar, S., Gray, M., Qu, Y., Li, D., & Tong, W. (2024) · Regulatory Toxicology and Pharmacology

Topic ModelingArtificial Intelligence in Healthcare and Education

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RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling

Wu, L., Gray, M., Dang, O., Xu, J., Fang, H., & Tong, W. (2023) · Experimental Biology and Medicine

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

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Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost

Chen, M., Wu, Y., Wingerd, B., Liu, Z., Xu, J., Thakkar, S., Pedersen, T. J., Donnelly, T., Mann, N., Tong, W., et al. (2024) · Frontiers in Artificial Intelligence

Pharmacovigilance and Adverse Drug ReactionsText and Document Classification Technologies

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