DeepGOMeta for functional insights into microbial communities using deep learning-based protein function prediction
Abstract Analyzing microbial samples remains computationally challenging due to their diversity and complexity. The lack of robust de novo protein function prediction methods exacerbates the difficulty in deriving functional insights from these samples. Traditional prediction methods, dependent on h...
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| Main Authors: | Rund Tawfiq, Kexin Niu, Robert Hoehndorf, Maxat Kulmanov |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-82956-w |
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