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• W4285254662 abstract "Classifying protein sequences from biological data has lot of importance in the field of pharmacology. The application of machine learning to find the sequence of amino acids has recently received popularity from various researchers. This chapter proposes a protein sequence classification technique using 1D Convolutional Neural Network (CNN). We also have discussed how NLP algorithms can be used for protein sequencing. We have achieved an accuracy of 85% with the proposed 1D CNN and further improved to 92% after increasing the filter size." @default.
• W4285254662 created "2022-07-14" @default.
• W4285254662 creator A5018486271 @default.
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• W4285254662 date "2022-01-01" @default.
• W4285254662 modified "2023-10-18" @default.
• W4285254662 title "Protein Sequence Classification Using Convolutional Neural Network and Natural Language Processing" @default.
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• W4285254662 doi "https://doi.org/10.1007/978-981-16-9158-4_9" @default.
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