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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Bibliographic Details
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