李俊毅(Chung-I Li )教授基本資料

按下開啟原圖
姓名:
李俊毅(Chung-I Li )
職稱:
助理教授
辦公室:
管理學院統計系館3樓62323室
聯絡電話:
(06)2757575~53620
電子郵件:
Office Hours:  
    ☉主要學歷(Educational Background):
      11/2008 Ph.D. Department of Statistics, National Cheng Kung University, Tainan, Taiwan. 
      06/2001 M.S. Department of Statistics, National Cheng Kung University, Tainan, Taiwan
      06/1999 B.S. Department of Statistics, Fu Jen Catholic University, Taipei, Taiwan.

    ☉相關經歷(Main Experiences):
      2015 August - Present: Assistant Professor, National Cheng Kung University, Tainan, Taiwan.
      2013 August - 2015 July: Project-Appointed Assistant Professor, Department of Applied Mathematics, National Chiayi University, Chiayi, Taiwan.
      2010 September - 2013 July: Postdoctoral Research Fellow, Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
      2009 August - 2010 July, Project-Appointed Assistant Professor, Department of Applied Mathematics, National Chiayi University, Chiayi, Taiwan.
      2008 December - 2009 July, Postdoctoral Research Fellow, National Cheng Kung University, Tainan, Taiwan.

    ☉專長領域(Specialties):
      生物資訊
      統計品質管制

學年度
學期
開課班級
必/選修
學分
科目名稱
授課老師
下載
104
碩博班
選修
3
線性模式
李俊毅
 
104
在外系
必修
3
微積分(一)
李俊毅
 


期刊論文
  1.  潘浙揇、李俊毅、楊智榮2019, “結合指數加權移動平均與累和管制圖在監控多階段系統製程品質上之應用研究”,中國統計學報,第57期,1-31頁。[CIS"Ecolit] 
  2.  Li, C. I., Pan, J. N. and Huang, M. H.2018, “A New Demerit Control Chart for Monitoring the Quality of Multivariate Poisson Processes,” Journal of Applied Statistics. (Accepted) [SCI]
  3.  Li, C. I., Pan, J. N. and Hsu, J. W.2018, “Monitoring Nonlinear Profile Data Using Support Vector Regression Method,” Quality and Reliability Engineering International. (Accepted) [SCI]
  4.  Zhao, S., Li, C.I., Guo, Y., Sheng, Q. and Shyr, Y.2018, “RnaSeqSampleSize: real data based sample size estimation for RNA sequencing.” BMC Bioinformatics 19, 191 [SCI]
  5.  Li, C.I.2018, “Control charts based on quasi-likelihood estimation for monitoring profile.” Journal of Statistical Computation and Simulation, Vol. 88, No. 3, 457-470 [SCI].
  6.  Li, C.I., Samuels, D.C., Zhao, Y.Y., Shyr, Y. and Guo, Y.2017, “Power and sample size calculations for high throughput sequencing based experiments,” Briefings in Bioinformatics, 1-9 [SCI]
  7.  Pan, J. N., Li, C. I. and Hsu, J. W.2017, “Monitoring the Process Quality for Multistage Systems with Multiple Characteristics,” International Journal of Quality & Reliability Management (Accepted) [ABI,EI]
  8.  Liu, Q., Wang, J., Zhao, Y., Li, C.I., Stengel, K.R., Acharya, P., Johnston, G., Hiebert, S. and Shyr, Y..2017, “Identification of active miRNA promoters from nuclear run-on RNA sequencing,” Nucleic Acids Research, Vol. 45, No. 13, e121 [SCI]
  9.  Su, P. F., Mau, Y.L., Guo, Y., Li, C.I., Liu, Q., Boice, J.D. and Shyr, Y.2017, “Bivariate Poisson models with varying offsets: An application to the paired mitochondrial DNA dataset,” Statistical Applications in Genetics and Molecular Biology. Vol. 16, No. 1, 47-58. [SCI]
  10.  Shaver, T. M., Lehmann, B. D., Beeler, J. S. 1, Li, C. I., Li, Z., Jin, H. , Stricker, T. P., Shyr, Y., and Pietenpol, J. A.2016, “Diverse, Biologically Relevant, and Targetable Gene Rearrangements in Triple-Negative Breast Cancer and Other Malignancies,” Cancer Research, Vol. 76, No. 16, 4850-4860. [SCI]
  11.  Li, C.I. and Shyr, Y.2016, “Sample size calculation based on generalized linear models for assessing differential expression analysis in RNA-seq data,’’ Statistical Applications in Genetics and Molecular Biology, Vol. 15, No. 6, 491-505 [SCI]
  12.  Pan, J. N., Li, C. I. and Wu, J. J.2016, “A New Approach to Detecting the Process Changes for Multistage Systems,” Expert Systems With Applications,Vol. 62, No. 15, 293-301. [SCI]
  13.  Sheng, Q., Zhao, S., Li, C.I., Shyr, Y. and Guo, Y.2016, “Practicability of Detecting Somatic Point Mutation from RNA High Throughput Sequencing Data,” Genomics, Vol. 107, No. 5, 163-169.[SCI]
  14.  Pan, J. N., Li, C. I. and Shih, W. C.2016, “Developing Capability Indices for Multivariate Process Subject to Non-Normal Distribution,” International Journal of Quality and Reliability Management, Vol. 33, No. 1, 42-61.
  15.  Pan, J.N., Li, C. I. and Ou, S. C. 2015, “Determining the Optimal Allocation of Parameters for Multivariate Measurement System Analysis” Expert Systems with Applications, Vol. 42, No. 20, 7036-7045. [SCI]
  16.  Guo, Y, Bosompem, A., Mohan, S., Erdogan, B., Ye, F., Vickers, K. C., Sheng, Q., Zhao, S., Li, C.I., Su,&2015, “Transfer RNA detection by small RNA deep sequencing and disease association with myelodysplastic syndromes”, BMC Genomics, 16:727. [SCI]
  17.  Pan, J.N. and Li, C.I.2014, “New capability indices for measuring the performance of a multidimensional machining process,” Expert Systems With Applications, Vol. 41, No. 5, 2409-2414. [SCI]
  18.  Su, P.F., Li, C.I. and Shyr, Y.2014, “Sample size determination for paired right-censored data based on the difference of Kaplan–Meier estimates,” Computational statistics & data analysis, Vol. 74, 39-51. [SCI]
  19.  Guo, Y., Zhao, S., Su, P.F., Li, C.I., Ye, F., Flynn, C. R. and Shyr, Y.2014, “Statistical strategies for microRNAseq batch effect reduction,” Translational Cancer Research, Vol. 3, No. 3, 260-265.
  20.  Trott, D.W., Thabet, S.R., Kirabo, A., Saleh, M.A, Itani, H., Norlander, A.E., Wu, J., Goldstein, A., Arendshorst, W.J., Madhur, M.S., Chen, W., L2014, “Oligoclonal CD8+ T Cells Play a Critical Role in the Development of Hypertension,” Hypertension, Vol. 64, No. 4, 1108-1115 [SCI]
  21.  Pan, J.N. and Li, C.I. and  Chen, F.Y.2014, “Evaluating environmental performance using new process capability indices for autocorrelated data,” Environmental Monitoring and Assessment, Vol. 186, No. 10, 6369-6384. [SCI]
  22.  Li, C.I., Su, N.C., Su, P.F. and Shyr, Y. 2014, “The design of X-bar and R control charts for skew normal distributed data,” Communication in Statistics: Theory and Methods, Vol. 43, No. 23, 4908-4924[SCI]
  23.  Shyr, D. and Li, C.I.2014, “Sample Size Calculation of RNA-sequencing Experiment-A Simulation-Based Approach of TCGA Data,” Journal of Biometrics & Biostatistics, Vol. 5, No. 198, 1-5.
  24.  13. Lammers, P.E., Shyr, Y., Li, C.I., Hutchison, A.S., Sandler, A., Carbone, D.P., Johnson, D.H., Keedy, V.L. and Horn, L.2014, “Phase II study of bendamustine in relapsed chemotherapy sensitive or resistant small-cell lung cancer,” Journal of Thoracic Oncology, Vol. 9, No. 4, 559-562. [SCI]
  25.  14. Vlacich G., Spratt, D.E., Diaz, R., Phillips, J.G., Crass, J., Li, C.I., Shyr, Y. and Cmelak, AJ.2014, “Dose to the inferior pharyngeal constrictor predicts prolonged gastrostomy tube dependence with concurrent intensity-modulated radiation therapy and chemotherapy for locally-advanced head and neck cancer,” Radiotherapy and Oncology, Vol. 110, No. 3, 435-440. [SCI]
  26.  Guo, Y., Li, C.I., Sheng, Q., Winther, J.F., Cai, Q., Boice, J. and Shyr, Y.2013, “Very low-level heteroplasmy mtDNA variations are inherited in humans,” Journal of Genetics and Genomics, Vol. 40, No. 12, 607-615. [SCI]
  27.  Guo, Y., Cai, Q., Li, C., Li, J., Li, C.I., Zheng, W. and Long, J.2013, “An evaluation of allele frequency estimation accuracy using pooled sequencing data,” International Journal of Computational Biology and Drug Design, Vol. 6, No. 4, 279-293.
  28.  Guo, Y., Li, J., Li, C.I., Shyr, Y., and Samuels, D.2013, “MitoSeek: extracting mitochondria information and performing high-throughput mitochondria sequencing analysis,” Bioinformatics, Vol. 29, No. 9, 1210-1211. [SCI]
  29.  Guo Y, Li, C.I, Ye, F and Shyr, Y. 2013,  “Evaluation of Read Count Based RNAseq Analysis Methods,” BMC Genomics, 14(Suppl 8):S2 [SCI]
  30.  Li, C.I., Su, P.F., Guo, YS. and Shyr, Y.2013, “Sample size calculation for differential expression analysis of RNA-seq data under Poisson distribution,” International Journal of Computational Biology and Drug Design, Vol. 6, No. 4, 358-375.
  31.  Li, C.I., Su, P.F. and Shyr, Y.2013, “Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data,” BMC Bioinformatics 14, 357 [SCI]
  32.  Guo, Y., Samuels, D., Li, J., Clark, T. Li, C.I., and Shyr, Y.2013,  “Evaluation of allele frequency estimation using pooled sequencing data simulation,” The Scientific World Journal, 2013:895496.
  33.  Li, C.I. and Pan, J.N.2012, “Sample size determination for estimating multivariate process capability indices based on lower confidence limits,” Journal of Applied Statistics, Vol. 39, No. 9, 1911-1920. [SCI]
  34.  Guo, Y., Li, J., Li, C.I., Long, J., Samuels, D. and Shyr, Y.2012, “The effect of strand bias in Illumina short-read sequencing data,” BMC Genomics, Vol. 13, No. 1, 666. [SCI]
  35.  Guo, Y., Long, J., He, J, Li, C.I., Cai, Q., Shu, X.O., Zheng, W. and Li, C.2012, “Exome sequencing generates high quality data in non-target regions,” BMC Genomics, Vol. 13, No. 1, 194. [SCI]
  36.  Guo, Y., Cai, Q., Samuels, D., Ye, F., Long, J., Li, C.I., Winther, J., Tawn E.J., Stovall, M., Lahteenmaki, P., Malia, N., Levy, S., Shaffer, C.,2012,  “The use of next generation sequencing technology to study the effect of radiation therapy on mitochondrial DNA mutation,” Mutation Research - Genetic Toxicology and Environmental Mutagenesis, Vol. 15, No. 744, 154-160. [SCI]
  37.  Su, P.F., Chi, Y., Li, C.I., Shyr, Y. and Liao, Y.D.2011,  “Analyzing survival curves at a fixed point in time for paired and clustered right-censored data,” Computational Statistics & Data Analysis, Vol. 55, No. 4, 1617-1628. [SCI]
  38.  Pan, J.N. and Li, C.I.2010, “New capability indices for evaluating the performance of multivariate manufacturing processes,” Quality and Reliability Engineering International, Vol. 26, No. 9, 3-15. [SCI]
  39.  Pan, J.N., Pan, J.B. and Li, C.I.2009, “Finding and optimizing the key factors for the multiple-response manufacturing process,” International Journal of Production Research, Vol. 47, No. 9, 2327-2344. [SCI]
  40.  37. Pan, J.N., Lai, S.C. and Li, C.I.2009, “A comparative study on evaluating air quality of Taiwan using various multivariate process capability indices,” Journal of Quality, Vol. 16, No. 1, 1-13.
  41.  Pan, J.N. and Li, C.I.2009, “Development of a new process incapability index with an application to the evaluation of manufacturing risk,” Communication in Statistics: Theory and Methods, Vol. 38, No. 8, 1-22. [SCI]
  42.  潘浙楠、賴盛振、李俊毅2009, “多變量製程能力指標在評估空氣品質上之比較研究—以台灣地區空氣污染資料為例”,品質學報,第16卷,第1期,1-13頁。[EI] (本文獲選品質學會論文獎)
  43.  38. Pan, J.N. and Li, C.I.2002, “Economic design and development of environmental control charts,” Journal of the Chinese Statistical Association, Vol. 40, No. 2, 167-194.
  44.  潘浙楠、李俊毅2002, “環保經濟管制圖之設計研究”,中國統計學報,第四十卷,第二期,167-194頁。[CIS\Ecolit]

會議論文
  1.  Li, C.I.2014, “Sample size calculation based on generalized linear model for assessing differential expression analysis in RNA-seq,” Frontiers in Genomics Research, National Cheng Kung University, December, Tainan, Taiwan.
  2.  Li, C.I. and Pan, J.N.2010, “Developing new capability indices for the positional tolerance of a multidimensional machining process,” 2010 Joint Statistical Meeting, August, Vancouver, British Columbia.
  3.  潘浙楠、盧彥宇、李俊毅2009, "Developing New Capability Indices for the Positional Tolerance of a Multidimensional Machining Process",98年統計學術研討會,11月,政治大學,台北。
  4.  潘浙楠、李俊毅、郭家吉2009, Gauge Variation Study for Ordinal Data,98年統計學術研討會,11月,政治大學,台北。
  5.  Pan, J.N. and Li, C.I.2008, “Sample size determination for multivariate process capability indices,” The 17th Southern Taiwan Statistics Conference, National Dong Hwa University, June, Hualien, Taiwan.
  6.  潘浙楠、李俊毅2007, “Development of New Capability Indices for Evaluating the Performance of a Multivariate Manufacturing Process”,第十六屆南區統計研討會,6月,高雄大學,高雄。
  7.  Pan, J.N. and Li, C.I. 2007, “Development of a new chemical PBT product using Six Sigma and mixture design techniques,” 2007 Cross-Strait Symposium on Applied Statistics, Fu Jen Catholic University, December, Taipei, Taiwan.
  8.  Pan, J.N. and Li, C.I.2007, “Development of a new process incapability index with an application to the evaluation of manufacturing risk,” The 13th Asia Pacific Management Conference, Monash University, Melbourne, Australia.
  9.  Pan, J.N. and Li, C.I.2007, “Development of new capability indices for multivariate manufacturing process,” 2007 Joint Statistical Meeting, August, Salt Lake City, USA.
  10.  潘浙楠、李俊毅2006, “Development of a New Process Incapability Index using Desirability Function”,第十五屆南區統計研討會,6月,中正大學,嘉義。
  11.  Pan, J.N., Li, C.I. and Chen, S.T. 2003, “The economic design of CUSUM chart for monitoring environmental performance,” The 13th ACME International Conference, Seattle, U.S.A.


其他著作
  • 無符合條件之資料




  • 查無符合之資料!


    目前尚無資料!