Name

Hsiuying Wang

Title

Professor

Office

Room 422, Assemble Building 1

Fax

+886-3-572-8745

Tel

+886-3-571-2121ext 56813

E-mail

wang@stat.nctu.edu.tw

hsiuyingwang@nctu.edu.tw

EDUCATION | EXPERIENCE | EDITORIAL SERVICES | FIELDS OF INTEREST | PUBLICATIONSSOFTWARE

·         EDUCATION

o        Ph.D. Statistics, National Tsing Hua University, 1996.

o        M.S. Mathematics, National Taiwan University, 1990.

o        B.S. Mathematics, National Taiwan University, 1988.

 

·         EXPERIENCE

o        Professor, Institute of Statistics, National Chiao Tung University, Taiwan, 2008-present.

o        Associate Research Fellow, Institute of Statistical Science, Academia Sinica 2002-2008.

o        Assistant  Research Fellow,  Institute of Statistical Science, Academia Sinica 1998-2002.

o        Associate  Professor,  Department of Business Administration, Chaoyang University of Technology 1996-1998.

 

·         EDITORIAL SERVICES

o        Guest Editor: Frontiers in Bioscience (2018), Cells (2018), Current Pharmaceutical Design (2019), Frontiers in Neurology (2020), Biomolecules (2020).

o        Reviewer Board: Processes (2021), Symmetry (2021)

o        Review Editor: Frontiers in Genetics (2020-)

o        Editor, 中國統計學報 (Journal of the Chinese Statistical Association), 2016.8-2018.7.

 

o        Special issues open for submission

  1. Processes banners   banners   flyer  
    https://www.mdpi.com/journal/processes/special_issues/MicroRNA_Mechanism

  2. Polymers banners   banners   flyer  
    https://www.mdpi.com/journal/polymers/special_issues/Biomater_Med_Appl

 

·         FIELDS OF INTEREST

 

        Statistical interval estimation, Bioinformatics, Signal recognition, miRNA

 

·         PUBLICATIONS

  1. Wang, H.*, Taguchi, Y. H. and Liu, X. (2021) Editorial: miRNAs and Neurological Diseases. Frontiers in Neurology, to appear (SCI).

  2. Wang, H.* (2021). MicroRNAs, Parkinson's Disease, and Diabetes Mellitus. International Journal of Molecular Sciences, 22(6), 2953. (SCI)

  3. Fu S-C, Lee C-H, Wang H.* (2021). Exploring the Association of Autism Spectrum Disorders and Constipation through Analysis of the Gut Microbiome. International Journal of Environmental Research and Public Health, 18(2):667. (SCI)

  4. Wang, H.* (2021). The Generalized Bayes Method for High-Dimensional Data Recognition with Applications to Audio Signal Recognition . Symmetry, 13(1), 19 (SCI)

  5. Wang, H.* (2021). Phylogenetic Analysis of microRNA Biomarkers for Amyotrophic Lateral Sclerosis. Biocell, 45,547-561. (SCI)

  6. Lee, C.-H. and Wang, H.* (2020). Confidence Intervals for the Proportion of Conformance. Journal of Statistical Computation and Simulation, to appear. (SCI)

  7. Chen. C. and Wang, H.* (2020). Logistic Regression Method for Ligand Discovery, Journal of Computational Biology, 27, 6, 934–940 (SCI)

  8. Wang, H.* (2020) MicroRNA, Diabetes Mellitus and Colorectal Cancer. Biomedicines, 8, 530. (SCI)

  9. Chen, Y.H. and Wang, H.* (2020). The association between migraine and depression based on miRNA biomarkers and cohort studies. Current Medicinal Chemistry, to appear. (SCI)  PDF 

  10. Guo, B.*, Zhu, N., Wang, W., Wang, H. (2020). Constructing exact tolerance intervals for the exponential distribution based on record values. Quality and Reliability Engineering International, 36, 7, 2398-2410 (SCI).

  11. Chen, Y.-H. and Wang, H.* (2020). The association between depression and gastroesophageal reflux based on phylogenetic analysis of miRNA biomarkers, Current Medicinal Chemistry, 27(38), 6536-6547. (SCI)  PDF 

  12. Chen, Y.-H. and Wang, H.* (2020). Exploring Diversity of COVID 19 Based on Substitution Distance. Infection and Drug Resistance, 13:3887-3894 (SCI)

  13. Wang, H.* (2020). MicroRNAs and Apoptosis in Colorectal Cancer. International Journal of Molecular Sciences, 21(15), 5353. (SCI)

  14. Wang H.* (2020). Anti-NMDA Receptor Encephalitis: Efficacy of Treatment for Male Patients and miRNA Biomarker, Current Medicinal Chemistry, 27(24):4138-4151. (SCI) NMDA PDF  cover image

  15. Chen. C. and Wang, H.* (2020). Tolerance Interval for the Mixture Normal Distribution. Journal of Quality Technology, 52, 145–154. (SCI)

  16. Wang, H.* (2019). Vaccines and Neurological Disease. Current Pharmaceutical Design, 25(43): 4551. (SCI) PDF

  17. Guo,B.*, Zhu, N., Wang,W., Song,Y. and Wang, H. (2019). Exact two-sided tolerance interval controlling tail proportions for sample variances, Quality and Reliability Engineering International, to appear (SCI)

  18. Wang, H.* (2019). Anti-NMDA Receptor Encephalitis, Vaccination and Viruses. Current Pharmaceutical Design, 25(43),4579-88. (SCI) PDF

  19. Wang, H.* (2019). Phylogenetic Analysis to Explore the Association Between Anti-NMDA Receptor Encephalitis and Tumors Based on microRNA Biomarkers, Biomolecules, 9(10), 572. (SCI)

  20. Taguchi, Y.-H. and Wang, H.* (2018). Exploring MicroRNA Biomarkers for Parkinson's Disease from mRNA Expression Profiles. Cells, 7, 245. (SCI)

  21. Taguchi YH and Wang H.* (2018) Exploring microRNA Biomarker for Amyotrophic Lateral Sclerosis, International Journal of Molecular Sciences, 19, 1318. (SCI)

  22. Wang, H.* (2018). A protocol for investigating the association of vaccination and anti-NMDA receptor encephalitis. Frontiers in Bioscience (Scholar Edition), 10:229-237. NMDA

  23. Huang, W. H., Yeh, A. B.* and Wang, H. (2018). A Control Chart for the Lognormal Standard Deviation, Quality Technology & Quantitative Management, 15,1-36. (SCI)

  24. Taguchi YH and Wang H.* (2017)  Genetic Association between Amyotrophic Lateral Sclerosis and Cancer. Genes, 8, 243. (SCI)

  25. Wang, H. and Tsung, F. (2017). Constructing Tolerance Intervals for the Number of Defects Using both High and Low Resolution Data. Journal of Quality Technology, 49, 354-364. (SCI)

  26. Wang, H.* (2017). Anti-NMDA Receptor Encephalitis and Vaccination, International Journal of Molecular Sciences, 18, 193. (SCI) PDF NMDA

  27. Wang, H.* (2016). Predicting MicroRNA Biomarkers for Cancer using Phylogenetic Tree and Microarray Analysis, International Journal of Molecular Sciences, 17, 773. (SCI) PDF

  28. Wang *, Y.H. T. and Wang, H. (2016). On the Monitoring of Mixture Simple Linear Profiles, Journal of Statistical Computation and Simulation, 86, 3009–3024. (SCI)

  29. Huang, W. H., Wang, H.* and Yeh, A. B. (2016), Control Charts for the Lognormal Mean, Quality and Reliability Engineering International, 32, 1407–1416. (SCI)

  30. Wang, H.* (2016). Efficacies of treatments for anti-NMDA receptor encephalitis, Frontiers in Bioscience-Landmark, 21:651-63. (SCI) PDF NMDA

  31. Chen, W. and Wang, H.* (2015). Variance Estimation for Nucleotide Substitution Models. Molecular Phylogenetics and Evolution, 90, 97-103. (SCI) Codes   PDF

  32. Wang, H.*, Huwang, L. and Yu, J.H. (2015). Multivariate Control Charts Based on the James-Stein Estimator, European Journal of Operational Research, 246, 119-127. (SCI) PDF

  33. Wang, H.* (2014). Predicting Cancer-Related MiRNAs Using Expression Profiles in Tumor Tissue, Current Pharmaceutical Biotechnology, 15(5):438-444. (SCI) PDF

  34. Hsieh, W.J., Lin, F.M., Huang, H.D*. and Wang, H.* (2014). Investigating microRNA-target interaction-supported tissues in human cancer tissues based on miRNA and target gene expression profiling, PLoS One, 9(4):e95697. (SCI)

  35. Wang, H.* and Huang, W. H. (2014). Bayesian Ranking Responses in Multiple Response Questions. Journal of the Royal Statistical Society, Series A (Statistics in Society), 177, 191–208, (SCI) PDF  

  36. Wang, H.* (2014). Confidence Intervals for A Bounded Mean in Exponential Families, Statistics, 48, 327-343. (SCI) PDF  

  37. Wang, H., Chiu, CC., Wu, TC. and Wu, WS.* (2013). Shrinkage regression-based methods for microarray missing value imputation. BMC Systems Biology, 7(Suppl 6):S11 (SCI)

  38. Hsieh, W.J. and Wang, H.* (2013). RRSM with a Data-dependent Threshold for miRNA Target Prediction. Journal of Theoretical Biology, 337, 54-60 (SCI)

  39. Lu, I.L. and Wang, H.* (2012). Protein-specific Scoring Method for Ligand Discovery, Journal of Computational Biology, 19(11): 1215-1226. (SCI) PDF   supplementary materials

  40. Wang, H.* and Hung, S. L. (2012). Phylogenetic Tree Selection by the Adjusted K-means Approach. Journal of Applied Statistics, 39, 643-655. (SCI) PDF

  41. Hsieh, W.J. and Wang, H.* (2011). Human MicroRNA Target Identification by RRSM. Journal of Theoretical Biology, 286, 79-84. (SCI) RRSM   PDF   supplementary materials

  42. Wang, H., Wang, YH. and Wu, WS.* (2011). Yeast cell cycle transcription factors identification by variable selection criteria. Gene, 485, 172-176 . (SCI) PDF

  43. Wang, H.* (2011). Confidence Intervals for the Substitution Number in the Nucleotide Substitution Models. Molecular Phylogenetics and Evolution, 60, 472–479. (SCI) PDF

  44. Wang, H.*, Lu, H. HS. and Chueh, TH. (2011). Constructing Biological Pathways by a Two-step Counting Approach. PLoS ONE, 6(6): e20074. doi: 10.1371/journal.pone.0020074 (SCI). PDF

  45. Wang, H.* (2010). Closed form prediction intervals applied for disease counts, The American Statistician, 64, 250-256. (SCI) PDF

  46. Emura, T. and Wang, H.* (2010). Approximate Tolerance Limits Under Log-location-scale Regression Models in the Presence of Censoring, Technometrics, 52, 313-323. (SCI) PDF

  47. Wang , H.* (2010). The Monotone Boundary Property and the Full Coverage Property of Confidence Intervals for a Binomial Proportion. Journal of Statistical Planning and Inference, 140, 495 -501. (SCI) PDF

  48. Wang, H.* (2009). Comparison of p Control Charts for Low Defective Rate. Computational Statistics & Data Analysis, 53, 4210-4220. (SCI) PDF

  49. Wang, H. and Li, W. H.* (2009). Increasing microRNA target prediction confidence by the relative r-squared method. Journal of Theoretical Biology, 259 , 793–798. (SCI) RRSM   PDF

  50. Wang, H. and Tsung, F.* (2009) . Tolerance Intervals with Improved Coverage Probabilities for Binomial and Poisson Variables. Technometrics, 51, 25-33. (SCI) Matlab Codes  PDF

  51. Wang, H.* (2009). Exact average coverage probabilities and confidence coefficients of confidence intervals for discrete distributions. Statistics and Computing, 19. 139-148. (SCI) PDF

  52. Cai, T.* and Wang, H. (2009). Tolerance Intervals for Discrete Distributions in Exponential Families. Statistica Sinica, 19, 905-923. (SCI)

  53. Wang, H.* (2008). Coverage probability of prediction intervals for discrete random variables. Computational Statistics & Data Analysis, 53, 17–26.(SCI) Matlab Codes  PDF

  54. Wang, H., Tzeng, Y.H. and Li, W.H.* (2008). Improved variance estimators for one- and two-parameter models of nucleotide substitution. Journal of Theoretical Biology, 254, 164-167. (SCI) PDF

  55. Chang, Y. P., Huang, W. T.* and Wang, H. (2008). ε-Admissible Estimators for Normal and Poisson Means. Communications in Statistics- Theory and Methods, 37, 1181-1192. (SCI)

  56. Wang, H.* (2008). Confidence Intervals for the Mean of a Normal Distribution with Restricted Parameter Space. Journal of Statistical Computation and Simulation, 78, 829–841. (SCI) PDF

  57. Wang, H.* (2008). Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions. Journal of Multivariate Analysis, 99, 896-911. (SCI) PDF

  58. Wang, H.* (2008). Ranking Responses in Multiple-Choice Questions. Journal of Applied Statistics, 35, 465-474. (SCI) PDF

  59. Wang, H.* (2007). Estimation of the probability of passing the USP dissolution test. Journal of Biopharmaceutical Statistics, 17, 407-413. (SCI) PDF

  60. Wang, H.* (2007). Modified p-values for one-sided testing in restricted parameter spaces. Statistics and Probability Letters, 77, 625-631. (SCI) PDF

  61. Wang, H.* (2007). Exact confidence coefficients of confidence intervals for a binomial proportion. Statistica Sinica, 17, 361-368. (SCI) R Codes  PDF

  62. Wang, H* (2006). Modified p-value of two-sided test for normal distribution with restricted parameter space. Communications in Statistics- Theory and Methods, 35, 1361-1374. (SCI) PDF

  63. Wang, H* (2006). Bayesian approach to estimation of accuracy in two-sided testing, Int. J. Contemp. Math. Sci.,1, 419-438.

  64. Wang, H.* (2005). Improved confidence estimators for confidence sets of location parameters. Journal of Statistical Planning and Inference, 128, 95-107. (SCI) PDF

  65. Wang, H.* (2004). Improved estimation of accuracy in simple hypothesis versus simple alternative testing. Journal of Multivariate Analysis, 90, 269-281. (SCI) PDF

  66. Wang, H.* (2002). Improved confidence estimators for the usual one-sided confidence intervals for the ratio of two normal variances. Statistics and Probability Letters, 59, 307-315. (SCI)

  67. Wang, H.* (2001). Admissibility of confidence estimators in the regression model. Journal of Multivariate Analysis, 76, 267-276. (SCI)

  68. Woodroofe, M.* and Wang, H. (2000). The problem of low counts in a signal plus noise model. Annals of Statistics, 28, 1561-1569. (SCI) PDF

  69. Wang, H.* (2000). Improved confidence estimators for the multivariate normal confidence set. Statistica Sinica, 10, 659-664. (SCI)

  70. Wang, H.* (1999). Brown's paradox in the estimated confidence approach. Annals of Statistics, 27, 610-626. (SCI) PDF

  71. Wang, H.* (1998). Estimated confidence under ancillary statistic everywhere valid constraint. Journal of Statistical Planning and Inference, 67, 123-135. (SCI)

  72. Wang, H.* (1998). Admissibility of the constant coverage probability estimator for estimating the coverage function of certain confidence interval. Statistics and Probability Letters, 36, 365-372. (SCI)

·         SOFTWARE

               1. RRSM (Relative R Squared Method)

               2. Multiple Response Question Data Analysis

               3. Protein-specific Scoring Method for Ligand Discovery

               4. Variance Estimation for the Nucleotide Substitution Models

               5. Anti-NMDA Receptor Encephalitis (抗NMDA受體腦炎)

               6. CISN: a software for confidence intervals of the nucleotide substitution number