A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
The accurate prediction and characterization of small open reading frames (smORFs) are critical for understanding their functional roles in gene regulation and cellular processes. This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the stre...
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| Format: | Thesis |
| Language: | English |
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2025
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| Online Access: | http://eprints.usm.my/62965/ |
| Abstract | Abstract here |