Yi-Hui Zhou

Stonebraker, J., Pace, R., Gallins, P., Dang, H., Aksit, M., Faino, A., … Knowles, M. (2024, March 27). Genetic variation in severe cystic fibrosis liver disease is associated with novel mechanisms for disease pathogenesis. HEPATOLOGY, Vol. 3. https://doi.org/10.1097/HEP.0000000000000863

Sun, G., & Zhou, Y.-H. (2023). [Review of AI in healthcare: navigating opportunities and challenges in digital communication]. FRONTIERS IN DIGITAL HEALTH, 5. https://doi.org/10.3389/fdgth.2023.1291132

Rosenfeld, M., Faino, A. V., Qu, P., Onchiri, F. M., Blue, E. E., Collaco, J. M., … Gibson, R. L. (2023). Association of Pseudomonas aeruginosa infection stage with lung function trajectory in children with cystic fibrosis. JOURNAL OF CYSTIC FIBROSIS, 22(5), 857–863. https://doi.org/10.1016/j.jcf.2023.05.004

Zhou, Y.-H., Gallins, P. J., Pace, R. G., Dang, H., Aksit, M. A., Blue, E. E., … Knowles, M. R. (2023). Genetic Modifiers of Cystic Fibrosis Lung Disease Severity. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 207(10), 1324–1333. https://doi.org/10.1164/rccm.202209-1653OC

Cordova, A. C., Klaren, W. D., Ford, L. C., Grimm, F. A., Baker, E. S., Zhou, Y.-H., … Rusyn, I. (2023). Integrative Chemical-Biological Grouping of Complex High Production Volume Substances from Lower Olefin Manufacturing Streams. TOXICS, 11(7). https://doi.org/10.3390/toxics11070586

Song, K., & Zhou, Y.-H. (2023). Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature Evaluations. BIOENGINEERING-BASEL, 10(2). https://doi.org/10.3390/bioengineering10020231

Ting, B. W. W., Wright, F. A., & Zhou, Y.-H. (2023, May 22). Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihood. BIOMETRICAL JOURNAL. https://doi.org/10.1002/bimj.202200029

Wang, W., & Zhou, Y.-H. (2022). A Double Penalty Model for Ensemble Learning. MATHEMATICS, 10(23). https://doi.org/10.3390/math10234532

Sun, Y., & Zhou, Y.-H. (2022). A Machine Learning Pipeline for Mortality Prediction in the ICU. International Journal of Digital Health, 2(1). https://doi.org/10.29337/ijdh.44

Ford, L. C., Jang, S., Chen, Z., Zhou, Y.-H., Gallins, P. J., Wright, F. A., … Rusyn, I. (2022). A Population-Based Human In Vitro Approach to Quantify Inter-Individual Variability in Responses to Chemical Mixtures. TOXICS, 10(8). https://doi.org/10.3390/toxics10080441

Zhou, Y.-H., Gallins, P. J., Etheridge, A. S., Jima, D., Scholl, E., Wright, F. A., & Innocenti, F. (2022). A resource for integrated genomic analysis of the human liver. SCIENTIFIC REPORTS, 12(1). https://doi.org/10.1038/s41598-022-18506-z

Kingston, H., Stilp, A. M., Gordon, W., Broome, J., Gogarten, S. M., Ling, H., … Blue, E. E. (2022). Accounting for population structure in genetic studies of cystic fibrosis. HUMAN GENETICS AND GENOMICS ADVANCES, 3(3). https://doi.org/10.1016/j.xhgg.2022.100117

Song, K., & Zhou, Y.-H. (2022). C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial data. BMC BIOINFORMATICS, 23(1). https://doi.org/10.1186/s12859-022-05027-9

Rosenfeld, M., Faino, A. V., Onchiri, F., Aksit, M. A., Blackman, S. M., Blue, E. E., … Gibson, R. L. (2022). Comparing encounter-based and annualized chronic pseudomonas infection definitions in cystic fibrosis. JOURNAL OF CYSTIC FIBROSIS, 21(1), 40–44. https://doi.org/10.1016/j.jcf.2021.07.020

Raraigh, K. S., Aksit, M. A., Hetrick, K., Pace, R. G., Ling, H., O'Neal, W., … Cutting, G. R. (2022). Complete CFTR gene sequencing in 5,058 individuals with cystic fibrosis informs variant-specific treatment. JOURNAL OF CYSTIC FIBROSIS, 21(1), 463–470. https://doi.org/10.1016/j.jcf.2021.10.011

Ting, B., Wright, F., & Zhou, Y.-H. (2022, February 15). Fast Multivariate Probit Estimation via a Two-Stage Composite Likelihood. STATISTICS IN BIOSCIENCES, Vol. 2. https://doi.org/10.1007/s12561-022-09338-6

Zhou, Y.-H., & Sun, G. (2022). Improve the Colorectal Cancer Diagnosis Using Gut Microbiome Data. FRONTIERS IN MOLECULAR BIOSCIENCES, 9. https://doi.org/10.3389/fmolb.2022.921945

Sun, Q., Liu, W., Rosen, J. D., Huang, L., Pace, R. G., Dang, H., … Li, Y. (2022). Leveraging TOPMed imputation server and constructing a cohort-specific imputation reference panel to enhance genotype imputation among cystic fibrosis patients. HUMAN GENETICS AND GENOMICS ADVANCES, 3(2). https://doi.org/10.1016/j.xhgg.2022.100090

Sun, Q., Yang, Y., Rosen, J. D., Jiang, M.-Z., Chen, J., Liu, W., … Li, Y. (2022). MagicalRsq: Machine-learning-based genotype imputation quality calibration. AMERICAN JOURNAL OF HUMAN GENETICS, 109(11), 1986–1997. https://doi.org/10.1016/j.ajhg.2022.09.009

Aksit, M. A., Ling, H., Pace, R. G., Raraigh, K. S., Onchiri, F., Faino, A. V., … Blackman, S. M. (2022). Pleiotropic modifiers of age-related diabetes and neonatal intestinal obstruction in cystic fibrosis. AMERICAN JOURNAL OF HUMAN GENETICS, 109(10), 1894–1908. https://doi.org/10.1016/j.ajhg.2022.09.004

Wang, W., & Zhou, Y.-H. (2021). Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors. JOURNAL OF MULTIVARIATE ANALYSIS, 185. https://doi.org/10.1016/j.jmva.2021.104781

Zhou, Y.-H., & Saghapour, E. (2021). ImputEHR: A Visualization Tool of Imputation for the Prediction of Biomedical Data. FRONTIERS IN GENETICS, 12. https://doi.org/10.3389/fgene.2021.691274

Chen, Z., Jang, S., Kaihatu, J. M., Zhou, Y.-H., Wright, F. A., Chiu, W. A., & Rusyn, I. (2021). Potential Human Health Hazard of Post-Hurricane Harvey Sediments in Galveston Bay and Houston Ship Channel: A Case Study of Using In Vitro Bioactivity Data to Inform Risk Management Decisions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 18(24). https://doi.org/10.3390/ijerph182413378

Luo, Y.-S., Chen, Z., Blanchette, A. D., Zhou, Y.-H., Wright, F. A., Baker, E. S., … Rusyn, I. (2021). Relationships between constituents of energy drinks and beating parameters in human induced pluripotent stem cell (iPSC)-Derived cardiomyocytes. FOOD AND CHEMICAL TOXICOLOGY, 149. https://doi.org/10.1016/j.fct.2021.111979

Marvel, S. W., House, J. S., Wheeler, M., Song, K., Zhou, Y.-H., Wright, F. A., … Reif, D. M. (2021, January). The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning. https://doi.org/10.1289/EHP8690

Etheridge, A. S., Gallins, P. J., Jima, D., Broadaway, K. A., Ratain, M. J., Schuetz, E., … Innocenti, F. (2020). A New Liver Expression Quantitative Trait Locus Map From 1,183 Individuals Provides Evidence for Novel Expression Quantitative Trait Loci of Drug Response, Metabolic, and Sex-Biased Phenotypes. CLINICAL PHARMACOLOGY & THERAPEUTICS, 107(6), 1383–1393. https://doi.org/10.1002/cpt.1751

Gallins, P., Saghapour, E., & Zhou, Y.-H. (2020). Exploring the Limits of Combined Image/'omics Analysis for Non-cancer Histological Phenotypes. FRONTIERS IN GENETICS, 11. https://doi.org/10.3389/fgene.2020.555886

Song, K., Wright, F. A., & Zhou, Y.-H. (2020). Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease Prediction. FRONTIERS IN MOLECULAR BIOSCIENCES, 7. https://doi.org/10.3389/fmolb.2020.610845

Zhou, Y.-H., & Gallins, P. (2019). [Review of A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction]. FRONTIERS IN GENETICS, 10. https://doi.org/10.3389/fgene.2019.00579

Zhou, Y. H. (2019). A note on cyclic shift permutation testing for large eigenvalues. Stat, 8(1). https://doi.org/10.1002/sta4.257

Zhou, Y.-H., Gallins, P., & Wright, F. (2019, November 9). Marker-Trait Complete Analysis (Vol. 11). Vol. 11. https://doi.org/10.1101/836494

Zhou, Y. H. (2019). Set‐based differential covariance testing for genomics. Stat, 8(1). https://doi.org/10.1002/sta4.235

Frayling, T. M., Beaumont, R. N., Jones, S. E., Yaghootkar, H., Tuke, M. A., Ruth, K. S., … Zhou, Y. H. (2018). A common allele in FGF21 associated with sugar intake is associated with body shape, lower total body-fat percentage, and higher blood pressure. Cell Reports, 23(2), 327–336.

Frayling, T. M., Beaumont, R. N., Jones, S. E., Yaghootkar, H., Tuke, M. A., Ruth, K. S., … others. (2018). A common allele in FGF21 associated with sugar intake is associated with body shape, lower total body-fat percentage, and higher blood pressure. Cell Reports, 23(2), 327–336.

Aoshima, M., Shen, D., Shen, H., Yata, K., Zhou, Y.-H., & Marron, J. S. (2018). A survey of high dimension low sample size asymptotics. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 60(1), 4–19. https://doi.org/10.1111/anzs.12212

Hu, T., Gallins, P., & Zhou, Y.-H. (2018). A zero-inflated beta-binomial model for microbiome data analysis. STAT, 7(1). https://doi.org/10.1002/sta4.185

Polineni, D., Dang, H., Gallins, P. J., Jones, L. C., Pace, R. G., Stonebraker, J. R., … Zou, F. (2018). Airway mucosal host defense is key to genomic regulation of cystic fibrosis lung disease severity. American Journal of Respiratory and Critical Care Medicine, 197(1), 79–93.

Polineni, D., Dang, H., Gallins, P. J., Jones, L. C., Pace, R. G., Stonebraker, J. R., … others. (2018). Airway mucosal host defense is key to genomic regulation of cystic fibrosis lung disease severity. American Journal of Respiratory and Critical Care Medicine, 197(1), 79–93.

Zhou, Y.-H., Marron, J. S., & Wright, F. A. (2018). Computation of ancestry scores with mixed families and unrelated individuals. BIOMETRICS, 74(1), 155–164. https://doi.org/10.1111/biom.12708

Zhou, Y.-H., Marron, J. S., & Wright, F. A. (2018). Eigenvalue Significance Testing for Genetic Association. Biometrics. https://doi.org/10.1111/biom.12767

Palowitch, J., Shabalin, A., Zhou, Y.-H., Nobel, A. B., & Wright, F. A. (2018). Estimation of cis-eQTL effect sizes using a log of linear model. BIOMETRICS, 74(2), 616–625. https://doi.org/10.1111/biom.12810

House, J. S., Grimm, F. A., Jima, D. D., Zhou, Y.-H., Rusyn, I., & Wright, F. A. (2017). A Pipeline for High-Throughput Concentration Response Modeling of Gene Expression for Toxicogenomics. Frontiers in Genetics, 8, 168.

Zhou, Y.-H., Brooks, P., & Wang, X. (2017). A Two-Stage Hidden Markov Model Design for Biomarker Detection, with Application to Microbiome Research. Statistics in Biosciences, 10(1), 41–58. https://doi.org/10.1007/S12561-017-9187-Y

Rudra, P., Zhou, Y., & Wright, F. A. (2017). A procedure to detect general association based on concentration of ranks. Stat, 6(1), 88–101.

Brooks, J. P., Buck, G. A., Chen, G., Diao, L., Edwards, D. J., Fettweis, J. M., … Zhou, Y.-H. (2017). Changes in vaginal community state types reflect major shifts in the microbiome. Microbial Ecology in Health and Disease, 28(1), 1303265. https://doi.org/10.1080/16512235.2017.1303265

Brooks, J. P., Buck, G. A., Chen, G., Diao, L., Edwards, D. J., Fettweis, J. M., … others. (2017). Changes in vaginal community state types reflect major shifts in the microbiome. Microbial Ecology in Health and Disease, 28(1), 1303265.

Tan, M. H., Li, Q., Shanmugam, R., Piskol, R., Kohler, J., Young, A. N., … Li, J. B. (2017). Dynamic landscape and regulation of RNA editing in mammals. Nature, 550(7675), 249–254. https://doi.org/10.1038/NATURE24041

Zhou, Y.-H., Cichocki, J. A., Soldatow, V. Y., Scholl, E. H., Gallins, P. J., Jima, D., … Rusyn, I. (2017). Editor's Highlight: Comparative Dose-Response Analysis of Liver and Kidney Transcriptomic Effects of Trichloroethylene and Tetrachloroethylene in B6C3F1 Mouse. TOXICOLOGICAL SCIENCES, 160(1), 95–110. https://doi.org/10.1093/toxsci/kfx165

Aguet, F., Brown, A. A., Castel, S. E., Davis, J. R., He, Y., Jo, B., … Zhou, Y.-H. (2017). Genetic effects on gene expression across human tissues. Nature, 550(7675), 204–213. https://doi.org/10.1038/NATURE24277

Li, X., Kim, Y., Tsang, E. K., Davis, J. R., Damani, F. N., Chiang, C., … Montgomery, S. B. (2017). The impact of rare variation on gene expression across tissues. Nature, 550(7675), 239–243. https://doi.org/10.1038/NATURE24267

Palowitch, J., Shabalin, A., Zhou, Y., Nobel, A. B., & Wright, F. A. (2016). Estimation of interpretable eQTL effect sizes using a log of linear model. ArXiv Preprint ArXiv:1605.08799.

Luizon, M. R., Eckalbar, W. L., Wang, Y., Jones, S. L., Smith, R. P., Laurance, M., … others. (2016). Genomic characterization of metformin hepatic response. PLoS Genetics, 12(11), e1006449.

Tian, X., Patel, K., Ridpath, J. R., Chen, Y. J., Zhou, Y. H., Neo, D., … Nakamura, J. (2016). Homologous recombination and translesion DNA synthesis play critical roles on tolerating DNA damage caused by trace levels of hexavalent chromium. PLoS One, 11(12).

Tian, X., Patel, K., Ridpath, J. R., Chen, Y., Zhou, Y.-H., Neo, D., … others. (2016). Homologous recombination and translesion DNA synthesis play critical roles on tolerating DNA damage caused by trace levels of hexavalent chromium. PloS One, 11(12), e0167503.

Zhou, Y.-H. (2016). Pathway Analysis for RNA-Seq Data Using a Score-Based Approach. BIOMETRICS, 72(1), 165–174. https://doi.org/10.1111/biom.12372

Theisen, C., & Williams, L. (2016). Poster: risk-based attack surface approximation. Symposium and Bootcamp on the Science of Security, 121–123.

Zhou, Y. H., & Wright, F. A. (2016). The projack: a resampling approach to correct for ranking bias in high-throughput studies. Biostatistics (Oxford, England), 17(1), 54–64.

Zhou, Y.-H., & Marron, J. S. (2016). Visualization of robust L1PCA. Stat, 5(1), 173–184. https://doi.org/10.1002/STA4.113

Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., … others. (2015). Effect of predicted protein-truncating genetic variants on the human transcriptome. Science, 348(6235), 666–669.

Demerath, E. W., Guan, W. H., Grove, M. L., Aslibekyan, S., Mendelson, M., Zhou, Y. H., … Li, Y. (2015). Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Human Molecular Genetics, 24(15), 4464–4479.

Demerath, E. W., Guan, W., Grove, M. L., Aslibekyan, S., Mendelson, M., Zhou, Y.-H., … others. (2015). Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci. Human Molecular Genetics, 24(15), 4464–4479.

O’Neal, W. K., Gallins, P., Pace, R. G., Dang, H., Wolf, W. E., Jones, L. C., … Knowles, M. R. (2015). Gene Expression in Transformed Lymphocytes Reveals Variation in Endomembrane and HLA Pathways Modifying Cystic Fibrosis Pulmonary Phenotypes. The American Journal of Human Genetics, 96(2), 318–328. https://doi.org/10.1016/J.AJHG.2014.12.022

O’Neal, W. K., Gallins, P., Pace, R. G., Dang, H., Wolf, W. E., Jones, L. C., … others. (2015). Gene expression in transformed lymphocytes reveals variation in endomembrane and HLA pathways modifying cystic fibrosis pulmonary phenotypes. The American Journal of Human Genetics, 96(2), 318–328.

Corvol, H., Blackman, S. M., Boëlle, P.-Y., Gallins, P. J., Pace, R. G., Stonebraker, J. R., … Knowles, M. R. (2015). Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis. Nature Communications, 6(1). https://doi.org/10.1038/NCOMMS9382

Corvol, H., Blackman, S. M., Boelle, P. Y., Gallins, P. J., Pace, R. G., Stonebraker, J. R., … Patrone, M. V. (2015). Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis. Nature Communications, 6.

Corvol, H., Blackman, S. M., Boëlle, P.-Y., Gallins, P. J., Pace, R. G., Stonebraker, J. R., … others. (2015). Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis. Nature Communications, 6, 8382.

Zhou, Y.-H., & Marron, J. S. (2015). High dimension low sample size asymptotics of robust PCA. ELECTRONIC JOURNAL OF STATISTICS, 9(1), 204–218. https://doi.org/10.1214/15-ejs992

Zhou, Y.-H., Marron, J. S., & others. (2015). High dimension low sample size asymptotics of robust PCA. Electronic Journal of Statistics, 9(1), 204–218.

Zhou, Y.-H., & Wright, F. A. (2015). Hypothesis testing at the extremes: fast and robust association for high-throughput data. BIOSTATISTICS, 16(3), 611–625. https://doi.org/10.1093/biostatistics/kxv007

Rager, J. E., Tilley, S. K., Tulenko, S. E., Smeester, L., Ray, P. D., Yosim, A., … Fry, R. C. (2015). Identification of Novel Gene Targets and Putative Regulators of Arsenic-Associated DNA Methylation in Human Urothelial Cells and Bladder Cancer. Chemical Research in Toxicology, 28(6), 1144–1155. https://doi.org/10.1021/TX500393Y

Rager, J. E., Tilley, S. K., Tulenko, S. E., Smeester, L., Ray, P. D., Yosim, A., … Del Razo, L. M. (2015). Identification of novel gene targets and putative regulators of arsenic-associated DNA methylation in human urothelial cells and bladder cancer. Chemical Research in Toxicology, 28(6), 1144–1155.

Identification of novel gene targets and putative regulators of arsenic-associated DNA methylation in human urothelial cells and bladder cancer. (2015). Chemical Research in Toxicology, 28(6), 1144–1155.

Metabolomic evaluation of neutrophilic airway inflammation in cystic fibrosis. (2015). Chest, 148(2), 507–515.

Zhou, Y. (2015). PathwaySeq: Pathway analysis for RNA-Seq data using a score-based approach. Dim (Data. Test), 1(1000), 448.

Abdo, N., Xia, M., Brown, C. C., Kosyk, O., Huang, R., Sakamuru, S., … Wright, F. A. (2015). Population-Based in Vitro Hazard and Concentration-Response Assessment of Chemicals: The 1000 Genomes High-Throughput Screening Study. ENVIRONMENTAL HEALTH PERSPECTIVES, 123(5), 458–466. https://doi.org/10.1289/ehp.1408775

Abdo, N., Xia, M., Brown, C. C., Kosyk, O., Huang, R., Sakamuru, S., … others. (2015). Population-based in vitro hazard and concentration--response assessment of chemicals: the 1000 genomes high-throughput screening study. Environmental Health Perspectives, 123(5), 458.

Ardlie, K. G., DeLuca, D. S., Segre, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., … Winckler, W. (2015). The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans. Science, 348(6235), 648–660.

Zhou, Y.-H., & Wright, F. A. (2015). The projack: a resampling approach to correct for ranking bias in high-throughput studies. Biostatistics, 17(1), 54–64.

Sanders, A., Smeester, L., Rojas, D., DeBussycher, T., Wu, M., Wright, F., … others. (2014). Cadmium exposure and the epigenome: Exposure-associated patterns of DNA methylation in leukocytes from mother-baby pairs. Epigenetics, 9(2), 212–221.

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., … Boomsma, D. I. (2014). Heritability and genomics of gene expression in peripheral blood. Nature Genetics, 46(5), 430–437. https://doi.org/10.1038/NG.2951

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., … Hottenga, J. J. (2014). Heritability and genomics of gene expression in peripheral blood. Nature Genetics, 46(5), 430–437.

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., … others. (2014). Heritability and genomics of gene expression in peripheral blood. Nature Genetics, 46(5), 430.

Chiu, W. A., Campbell, J. L., Jr., Clewell, H. J., III, Zhou, Y.-H., Wright, F. A., Guyton, K. Z., & Rusyn, I. (2014). Physiologically Based Pharmacokinetic (PBPK) Modeling of Interstrain Variability in Trichloroethylene Metabolism in the Mouse. ENVIRONMENTAL HEALTH PERSPECTIVES, 122(5), 456–463. https://doi.org/10.1289/ehp.1307623

Physiologically based pharmacokinetic (PBPK) modeling of interstrain variability in trichloroethylene metabolism in the mouse. (2014). Environmental Health Perspectives, 122(5), 456.

Zhou, Y.-H., & Dang, H. (2014). RNA-Seq pathway analysis.

Zhou, Y.-H., Barry, W. T., & Wright, F. A. (2013). Empirical pathway analysis, without permutation. Biostatistics, (doi:10.1093/biostatistics/kxt004), 1–13.

Esther, C. R., Zhou, Y., Wright, F., & Boucher, R. C. (2013). Metabolomic Evaluation Of Cystic Fibrosis Airways Disease. In A26. PEDIATRIC CYSTIC FIBROSIS (pp. A1165–A1165). American Thoracic Society.

Li, Y., Chen, W., Liu, E. Y., & Zhou, Y.-H. (2013). Single Nucleotide Polymorphism (SNP) Detection and Genotype Calling from Massively Parallel Sequencing (MPS) Data. Statistics in Biosciences, 5(1), 3–25. https://doi.org/10.1007/S12561-012-9067-4

Sun, Z., Oey, L.-Y., & Zhou, Y.-H. (2013). Skill-assessments of statistical and Ensemble Kalman Filter data assimilative analyses using surface and deep observations in the Gulf of Mexico. Frontiers of Earth Science, 7(3), 271–281. https://doi.org/10.1007/S11707-013-0377-8

Zhou, Y.-H., Mayhew, G., Sun, Z., Xu, X., Zou, F., & Wright, F. A. (2013). Space-time clustering and the permutation moments of quadratic forms. Stat, 2(1), 292–302. https://doi.org/10.1002/STA4.37

Xu, M., Xu, X., & Zhou, Y.-hui. (2013). Stochastic comparisons in a price-quantity setting firm with uncertain demand and emergency procurement. Journal of Systems Science and Systems Engineering, 22(4), 401–420. https://doi.org/10.1007/S11518-013-5226-5

Xu, M., Xu, X., & Zhou, Y.-hui. (2013). Stochastic comparisons in a price-quantity setting firm with uncertain demand and emergency procurement. Journal of Systems Science and Systems Engineering, 22(4), 401–420.

Lock, E. F., Abdo, N., Huang, R., Xia, M., Kosyk, O., O’Shea, S. H., … others. (2012). Quantitative high-throughput screening for chemical toxicity in a population-based in vitro model. Toxicological Sciences.

Zhou, Y.-H., & Wright, F. A. (2012). Simple and accurate trend tests using a permutation approximation.

Li, Y., Chen, W., Liu, E. Y., & Zhou, Y.-H. (2012). Single Nucleotide Polymorphism (SNP) Detection and Genotype Calling from Massively Parallel Sequencing (MPS) Data. Statistics in Biosciences, 1–23.

Zhou, Y.-H., Barry, W. T., Wright, F. A., & Hill, C. (2012). Supplementary material for: Empirical Pathway Analysis, Without Permutation.

Zhou, Y.-H., Xia, K., & Wright, F. A. (2011). A powerful and flexible approach to the analysis of RNA sequence count data. Bioinformatics, 27(19), 2672–2678.

Xia, K., Shabalin, A. A., Huang, S., Madar, V., Zhou, Y.-H., Wang, W., … Wright, F. A. (2011). seeQTL: a searchable database for human eQTLs. Bioinformatics, 28(3), 451–452.

Zhou, Y., & Gowda, M. S. (2009). On the finiteness of the cone spectrum of certain linear transformations on Euclidean Jordan algebras. Linear Algebra and Its Applications, 431(5-7), 772–782. https://doi.org/10.1016/j.laa.2009.03.031

Medical Center, New York, NY 10032, USA. 18Wellcome Trust Centre for Human Genetics Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7BN, UK. 19Department of Computer Science, Stanford University, Stanford, CA 94305, USA. 20Department of Computer Science, Johns.

Yin, G., Zhou, Y., Asplund, L., Athanassiadis, I., Wideqvist, U., Qiu, Y., … Bergman, Å. Significant Chlorinated Paraffin Concentrations Together with Traditional and Emerging Pollutants in Wildlife from a Yangtze River Delta Area Site.

Supplemental Material Physiologically Based Pharmacokinetic (PBPK) Modeling of Interstrain Variability in Trichloroethylene Metabolism in the Mouse.

Zhou, Y.-H., & Wright, F. A. Supplementary Appendix to: Hypothesis testing at the extremes: fast and robust association for high-throughput data.

DeLuca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., … others. on July 8, 2015.