Zi Liu Ph.D candidate


School of Computer Science and Engineering,
Nanjing University of Science and Technology,
200 Xiao Ling Wei Street,
Nanjing, P.R. China
210094
Mobile : +8615850584314
Email:    liuzi189836@163.com   
      717595524@qq.com   

 Education


April.2016 to present:
Ph.D.candidate,in Control Science and Engineering,
majoring in bioinformtic,pattern recognition,
   School of Computer Science and Engineering,
   Nanjing University of Science and Technology,
   200 Xiao Ling Wei Street,
   Nanjing, P.R. China

Sept.2012 to Jun.,2015:
M.S., in Control Theory and Engineering,
majoring in bioinformtic,pattern recognition,
Computer Department, Jingdezhen Ceramic Institute,
         Jingdezhen, P.R. China

Sept.2008 to Jun.,2012:
B.S., in Automation,
College of Mechanical & Electrical Engineering,Anhui Polytechnic University,
         Anhui, P.R.China

Professional Honors or  Recognition


2015
Outstanding graduate of jingdezhen ceramic institute in 2015

2015
Mathematical modeling competition second prize in jiangxi province in 2015

2014
In 2013-2014 won the "national scholarship";

2014
"outstanding communist party member" honorary title of Jingdezhen ceramic institute in 2014

2014
Mathematical modeling competition second prize in jiangxi province in 2014

2014
In 2014 won the first prize in the academic cultural festival;

2013
2012-2013 school year for "outstanding student cadres" honorary title of jingdezhen ceramic institute;

2013
2012-2013 for "special scholarship" of jingdezhen ceramic institute;

bioinfomatics software


  1. pRNAm-PC:Predicting N6-methyladenosine sites in RNA sequences via physical-chemical properties. [READ ME]

  2. iDNA-Methyl:Identifying DNA methylation sites via pseudo trinucleotide composition. [READ ME]

  3. iPPBS-Opt:a sequence-based ensemble classifier for identifying protein-protein binding sites by optimizing imbalanced training dataset.[READ ME]

  4. pSuc-Lys:Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach.[READ ME]

  5. iPPI-Esml: an ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC.[READ ME]

  6. iCataly-PseAAC:Identification of enzymes catalytic sites using sequence evolution information with grey model GM (2,1).[READ ME]








  Publications


  1. Liu,Z., Xiao, X., Yu, D. J., Jia, J., Qiu, W. R., & Chou, K. C. (2016). pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physicalechemical properties. Analytical Biochemistry 497 (2016) 60-67.

  2. Liu,Z., Xiao, X.,Qiu, W.L., (2015) iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition. Analytical Biochemistry.474, 69-77.

  3. Jia, J., Liu,Z., Xiao, X., Liu, B., & Chou, K. C. (2016). iCar-PseCp: identify carbonylation sites in proteins by Monto Carlo sampling and incorporating sequence coupled effects into general PseAAC. Oncotarget.

  4. Xiao, X., Ye, H. X., Liu,Z., Jia, J. H., & Chou, K. C. (2016). iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition. Oncotarget.

  5. Jia, J., Liu,Z., Xiao, X., Liu, B., & Chou, K. C. (2016). pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. Journal of Theoretical Biology, 394(2016)223-230.

  6. Liu,Z., Xiao, X.,Qiu, W.L., Chou. K.C., (2015) Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition. Data in Brief. 4:87-89.

  7. Jia., J.H., Liu,Z., Xiao,X., Liu, B.X., Chou, K.C., (2015)iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC. Journal of Theoretical Biology. 377(2015) 47-56.

  8. Xiao, X, Min J.L., Lin W.Z.,Liu,Z.,Cheng X., Chou, K.C.(2015)iDrug-Target: Predicting interactions between drug compounds and target proteins in Cellular Networking via benchmark dataset optimization approach. Journal of Biomolecular Structure and Dynamics. Journal of Biomolecular Structure & Dynamics, 2014, 33: 2221-2233.

  9. Jia J, Liu,Z., Xiao X, et al. Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition[J]. Journal of Biomolecular Structure and Dynamics, 2015: 1-16.  DOI: 10.1080/07391102.2015.1095116

  10. Xiao, X., Hui, M. J., Liu,Z., & Qiu, W. R. (2015). iCataly-PseAAC: Identification of enzymes catalytic sites using sequence evolution information with grey model GM (2, 1). The Journal of membrane biology, 248(6), 1033-1041.

  11. Jia, J., Liu,Z., Xiao, X., Liu, B., & Chou, K. C. (2015). iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. Analytical biochemistry.

  12. Jia, J., Liu,Z., Xiao, X., Liu, B., & Chou, K. C. (2016). iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets. Molecules, 21(1), 95.

  13. Xiao, X., Liu,Z., & Qiu, W. R. (2015, July). PNP-DIPseAAC: Prediction of nucleosome position based on the DNA sequence information. In Control Conference (CCC), 2015 34th Chinese (pp. 8559-8562). IEEE.

  14. Xiao, X., Liu,Z., & Qiu, W. R. (2014, April). Using multi-label algorithm to predict the post-translation modification types of proteins. In Information Science and Technology (ICIST), 2014 4th IEEE International Conference on (pp. 290-293). IEEE.

  15. Jia, J. H., Liu,Z., Chen, X., Xiao, X., & Liu, B. X. (2014). Prediction of protein-protein interactions using chaos game representation and wavelet transform via the random forest algorithm. Genetics and molecular research: GMR, 14(4), 11791-11805.