OrthoML2GO: homology-based protein function prediction using orthogroups and machine learning

In recent years, the rapid growth of sequencing data has exacerbated the problem of functional annotation of protein sequences, as traditional homology-based methods face limitations when working with distant homologs, making it difficult to accurately determine protein functions. This paper introdu...

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Bibliografiske detaljer

Principais autores:	E. V. Malyugin, D. A. Afonnikov
Format:	Artigo
Sprog:	Inglês
Udgivet:	Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2025-12-01
Serier:	Вавиловский журнал генетики и селекции
Fag:	предсказание функций белка генная онтология гомология ортогруппа машинное обучение
Online adgang:	https://vavilov.elpub.ru/jour/article/view/4899
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