A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe

A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe

In our study, we introduce a novel hybrid ensemble model that synergistically combines LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations in cancer. This model was rigorously tested using Kaggle's Personalized Medicine: Redefining Cancer Treatment dataset, dem...

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Bibliographic Details
Main Authors: Sanad Aburass, Osama Dorgham, Jamil Al Shaqsi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Systems and Soft Computing
Subjects:
Genetic mutation
Text classification
Long short-term memory
Online Access:http://www.sciencedirect.com/science/article/pii/S2772941924000395
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http://www.sciencedirect.com/science/article/pii/S2772941924000395

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