Hong, Huixiao

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

Cited by 2,126

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

A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages

Yu, Y., Fuscoe, J. C., Zhao, C., Guo, C., Jia, M., Qing, T., Bannon, D. I., Lancashire, L., Bao, W., Du, T., et al. (2014) · Nature Communications

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 395

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

Cited by 393

CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

Mansouri, K., Abdelaziz, A., Rybacka, A., Roncaglioni, A., Tropsha, A., Varnek, A., Zakharov, A., Worth, A., Richard, A. M., Grulke, C. M., et al. (2016) · Environmental Health Perspectives

Computational Drug Discovery MethodsEffects and risks of endocrine disrupting chemicals

Cited by 375

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

Cited by 85

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

Cited by 37

Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

Sahraeian, S. M. E., Fang, L. T., Karagiannis, K., Moos, M., Smith, S., Santana-Quintero, L., Xiao, C., Colgan, M., Hong, H., Mohiyuddin, M., et al. (2022) · Genome biology

Cancer Genomics and DiagnosticsGenomics and Phylogenetic Studies

Cited by 27