A novel deep learning identifier for promoters and their strength using heterogeneous features

A novel deep learning identifier for promoters and their strength using heterogeneous features

<p>Promoters, which are short (50–1500 base-pair) in DNA regions, have emerged to play a critical role in the regulation of gene transcription. Numerous dangerous diseases, likewise cancer, cardiovascular, and inflammatory bowel diseases, are caused by genetic variations in promoters. Conseque...

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Bibliographic Details
Main Author: Aqsa Amjad (22155247) (author)
Other Authors: Saeed Ahmed (417198) (author), Muhammad Kabir (4582228) (author), Muhammad Arif (769250) (author), Tanvir Alam (638619) (author)
Published: 2024
Subjects:
Biological sciences
Genetics
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Oncology and carcinogenesis
Engineering
Biomedical engineering
Computational intelligence
Bioinformatics
Promoters
Convolutional neural network
Bidirectional long short-term memory
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