Kuo‐Chen Chou

Top papers

• Prediction of protein cellular attributes using pseudo‐amino acid composition

  Kuo‐Chen Chou·2001·Proteins Structure Function and Bioinformatics
  ↗ 1,963
• Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

  Kuo‐Chen Chou, Hong‐Bin Shen·2010·PLoS ONE
  ↗ 1,215OA
• Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

  Kuo‐Chen Chou·2004·Bioinformatics
  ↗ 1,024OA
• Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

  Bin Liu, Fule Liu, Xiaolong Wang, et al.·2015·Nucleic Acids Research
  ↗ 733OA
• <i>iFeature</i>: a Python package and web server for features extraction and selection from protein and peptide sequences

  Zhen Chen, Pei Zhao, Fuyi Li, et al.·2018·Bioinformatics
  ↗ 689OA
• iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

  Wei Chen, Pengmian Feng, Hao Lin, et al.·2013·Nucleic Acids Research
  ↗ 621OA
• Structural Bioinformatics and its Impact to Biomedical Science

  Kuo‐Chen Chou·2004·Current Medicinal Chemistry
  ↗ 604
• Impacts of Bioinformatics to Medicinal Chemistry

  Kuo‐Chen Chou·2015·Medicinal Chemistry
  ↗ 533
• iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition

  Hao Lin, En-Ze Deng, Hui Ding, et al.·2014·Nucleic Acids Research
  ↗ 511OA
• REVIEW : Recent advances in developing web-servers for predicting protein attributes

  Kuo‐Chen Chou, Hong‐Bin Shen·2009·Natural Science
  ↗ 465OA
• iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

  Zhen Chen, Pei Zhao, Fuyi Li, et al.·2019·Briefings in Bioinformatics
  ↗ 435
• PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition

  Wei Chen, Tianyu Lei, Dianchuan Jin, et al.·2014·Analytical Biochemistry
  ↗ 434