Selected article for: "feature vector and protein sequence"

Author: Li, Chun; Zhao, Jialing; Wang, Changzhong; Yao, Yuhua
Title: Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation
  • Document date: 2018_2_23
  • ID: u1imic5l_37
    Snippet: where (8) Here, are frequencies of occurrence of the 20 standard amino acids in a protein sequence, and are weight factors. As will be described later in detail, the four adjustable parameters in Eqs (7) and (8) can be determined by a set of known samples. Roughly speaking, the vector contains the feature of AAC, and the information beyond AAC as well, which is similar to Chou's PseAAC in form. Therefore, we call such a vector formulated by Eqs (.....
    Document: where (8) Here, are frequencies of occurrence of the 20 standard amino acids in a protein sequence, and are weight factors. As will be described later in detail, the four adjustable parameters in Eqs (7) and (8) can be determined by a set of known samples. Roughly speaking, the vector contains the feature of AAC, and the information beyond AAC as well, which is similar to Chou's PseAAC in form. Therefore, we call such a vector formulated by Eqs (7) and (8) the generalized PseAAC of a protein sequence.

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