文章名稱引用次數

• Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC42
• Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC27
• SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins26
• iMethyl-STTNC: Identification of N-6-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences24
• Self-binding peptides: Binding-upon-folding versus folding-upon-binding23
• iRNA-PseKNC(2methyl): Identify RNA 2 '-O-methylation sites by convolution neural network and Chou's pseudo components21
• Mathematical modeling of tumor-immune cell interactions18
• Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition17
• DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC17
• iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition16