iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components

Eitemau Tebyg

• iMethylK_pseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou’s 5-steps Rule
  gan: Ilyas, Sarah, et al.
  Cyhoeddwyd: (2019)
• iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule
  gan: Malebary, Sharaf Jameel, et al.
  Cyhoeddwyd: (2019)
• Accurate prediction of subcellular location of apoptosis proteins combining Chou’s PseAAC and PsePSSM based on wavelet denoising
  gan: Yu, Bin, et al.
  Cyhoeddwyd: (2017)
• PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC
  gan: Zhang, Jian, et al.
  Cyhoeddwyd: (2014)
• Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC
  gan: Meher, Prabina Kumar, et al.
  Cyhoeddwyd: (2017)