Fang, Hong

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

MAQC Consortium, Shi, L., Shi, L., Reid, L. H., Jones, W. D., Shippy, R., Warrington, J. A., Baker, S. C., Collins, P. J., de Longueville, F., et al. (2006) · Nature Biotechnology

Gene expression and cancer classificationMolecular Biology Techniques and Applications

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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

Cited by 512

Toward interoperable bioscience data

Sansone, S.-A., Rocca-Serra, P., Field, D., Maguire, E., Taylor, C., Hofmann, O., Fang, H., Neumann, S., Tong, W., Amaral-Zettler, L., et al. (2012) · Nature Genetics

Research Data Management PracticesScientific Computing and Data Management

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FDA-approved drug labeling for the study of drug-induced liver injury

Chen, M., Vijay, V., Shi, Q., Liu, Z., Fang, H., & Tong, W. (2011) · Drug Discovery Today

Drug-Induced Hepatotoxicity and ProtectionPharmacovigilance and Adverse Drug Reactions

Cited by 406

Human Sex Hormone-Binding Globulin Binding Affinities of 125 Structurally Diverse Chemicals and Comparison with Their Binding to Androgen Receptor, Estrogen Receptor, and α-Fetoprotein

Hong, H., Branham, W. S., Ng, H. W., Moland, C. L., Dial, S. L., Fang, H., Perkins, R., Sheehan, D., & Tong, W. (2015) · Toxicological Sciences

Effects and risks of endocrine disrupting chemicalsEstrogen and related hormone effects

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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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Rat α-Fetoprotein Binding Affinities of a Large Set of Structurally Diverse Chemicals Elucidated the Relationships between Structures and Binding Affinities

Hong, H., Branham, W. S., Dial, S. L., Moland, C. L., Fang, H., Shen, J., Perkins, R., Sheehan, D., & Tong, W. (2012) · Chemical Research in Toxicology

Effects and risks of endocrine disrupting chemicalsEstrogen and related hormone effects

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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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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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