Hybrid_dbp: prediction of dna-binding proteins using hybrid features and convolutional neural networks

HIGHLIGHTS

• who: Methods and collaborators from the Hunan University, China have published the research work: Hybrid_DBP: Prediction of DNA-binding proteins using hybrid features and convolutional neural networks, in the Journal: (JOURNAL)
• what: According to the current study, CNN used the following layers: Separate frequencies are calculated for each amino_acid arrangement, and the size of the generated frequency vector is20K (Galili, 2015).
• how: In this paper accuracy (ACC) (Wang et_al 2019) sensitivity (SN) specificity (SP) (Zhu et_al 2020) and Mathew correlation coefficient (MCC) (Zeng et_al 2019) were applied as a measure of model performance . . .
  

   

  

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