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Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis

Abstract Efforts to enhance the accuracy of protein sequence classification are of utmost importance in driving forward biological analyses and facilitating significant medical advancements. This study presents a cutting-edge model called ProtICNN-BiLSTM, which combines attention-based Improved Conv...

Deskribapen osoa

Gorde:
Egile Nagusiak: Umesh Kumar Lilhore, Sarita Simiaya, Musaed Alhussein, Neetu Faujdar, Surjeet Dalal, Khursheed Aurangzeb
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BMC 2024-08-01
Saila:BMC Medical Informatics and Decision Making
Gaiak:
Deep learning
Bayesian optimization
CNN
Bi-LSTM
Protein sequence classification
Bioinformatics
Sarrera elektronikoa:https://doi.org/10.1186/s12911-024-02631-y
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