Wen lin Huang

Summary

Affiliation: Tri-Service General Hospital
Country: Taiwan

Publications

  1. ncbi Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes
    Wen lin Huang
    Department of Management Information System, Asia Pacific Institute of Creativity, No 110 XueFu Rd, Tou Fen, Miaoli, Taiwan, ROC
    J Theor Biol 312:105-13. 2012
  2. ncbi ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
    Wen lin Huang
    Institute of Bioinformatics, National Chiao Tung University, Hsinchu, Taiwan
    BMC Bioinformatics 9:80. 2008
  3. ncbi FRKAS: Knowledge Acquisition Using a Fuzzy Rule Base Approach to Insight of DNA-Binding Domains/Proteins
    Hui Ling Huang
    Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
    Protein Pept Lett 20:299-308. 2013
  4. ncbi Predicting protein subnuclear localization using GO-amino-acid composition features
    Wen lin Huang
    Department of Management Information System, Chin Min Institute of Technology, Miaoli, Taiwan
    Biosystems 98:73-9. 2009
  5. ncbi Predicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties
    Hui Lin Huang
    Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
    BMC Bioinformatics 12:S47. 2011
  6. ncbi Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition
    Hui Ling Huang
    Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
    BMC Bioinformatics 13:S3. 2012
  7. ncbi Accurate prediction of enzyme subfamily class using an adaptive fuzzy k-nearest neighbor method
    Wen lin Huang
    Institute of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan
    Biosystems 90:405-13. 2007
  8. ncbi ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features
    Wen lin Huang
    Institute of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan
    Biosystems 90:573-81. 2007

Detail Information

Publications8

  1. ncbi Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes
    Wen lin Huang
    Department of Management Information System, Asia Pacific Institute of Creativity, No 110 XueFu Rd, Tou Fen, Miaoli, Taiwan, ROC
    J Theor Biol 312:105-13. 2012
    ..Additionally, the method Sec-GO is easily implemented and its web tool of prediction is available at iclab.life.nctu.edu.tw/secgo...
  2. ncbi ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
    Wen lin Huang
    Institute of Bioinformatics, National Chiao Tung University, Hsinchu, Taiwan
    BMC Bioinformatics 9:80. 2008
    ..An accurate prediction method for predicting subcellular localization of novel proteins without known accession numbers, using only the input sequence, is worth developing...
  3. ncbi FRKAS: Knowledge Acquisition Using a Fuzzy Rule Base Approach to Insight of DNA-Binding Domains/Proteins
    Hui Ling Huang
    Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
    Protein Pept Lett 20:299-308. 2013
    ..The proposed knowledge acquisition method by establishing a fuzzy rule-based classifier can also be applicable to predict and analyze other protein functions from sequences...
  4. ncbi Predicting protein subnuclear localization using GO-amino-acid composition features
    Wen lin Huang
    Department of Management Information System, Chin Min Institute of Technology, Miaoli, Taiwan
    Biosystems 98:73-9. 2009
    ..4%. Experimental results show that the set of informative GO terms are effective features for protein subnuclear localization. The prediction server based on PGAC has been implemented at http://iclab.life.nctu.edu.tw/prolocgac...
  5. ncbi Predicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties
    Hui Lin Huang
    Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
    BMC Bioinformatics 12:S47. 2011
    ..However, there exists a troublesome problem for designers that some different physicochemical properties have similar vectors of representing 20 amino acids and some closely related physicochemical properties have dissimilar vectors...
  6. ncbi Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition
    Hui Ling Huang
    Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
    BMC Bioinformatics 13:S3. 2012
    ..It is desirable to develop a simple and easily interpretable method for predicting protein solubility, compared to existing complex SVM-based methods...
  7. ncbi Accurate prediction of enzyme subfamily class using an adaptive fuzzy k-nearest neighbor method
    Wen lin Huang
    Institute of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan
    Biosystems 90:405-13. 2007
    ..The accuracy of AFK-NN on the new large-scale dataset of oxidoreductases family is 83.3%, and the mean accuracy of the six families is 92.1%...
  8. ncbi ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features
    Wen lin Huang
    Institute of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan
    Biosystems 90:573-81. 2007
    ..4% for the SVM-based system using k-peptide composition features applied on SNL6, and 64.32% for an optimized evidence-theoretic k-nearest neighbor classifier utilizing pseudo amino acid composition applied on SNL9, respectively...