An efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM

An efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM

Anticancer peptides (ACPs) are a group of peptides that exhibit antineoplastic properties. The utilization of ACPs in cancer prevention can present a viable substitute for conventional cancer therapeutics, as they possess a higher degree of selectivity and safety. Recent scientific advancements gene...

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Bibliographic Details
Main Authors: Onur Karakaya, Zeynep Hilal Kilimci
Format: Article
Language:English
Published: PeerJ Inc. 2024-02-01
Series:PeerJ Computer Science
Subjects:
Anticancer peptides
Word embeddings
Deep learning
FastText
Word2Vec
CNN
Online Access:https://peerj.com/articles/cs-1831.pdf

Internet

https://peerj.com/articles/cs-1831.pdf

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