超越观察:预测真菌生活方式的基因组特征和机器学习算法

IF 10 1区生物学 Q1 MYCOLOGY

Mycosphere Pub Date : 2023-01-01 DOI:10.5943/mycosphere/14/1/17

YP Chen, PW Su, M Stadler, R Xiang, KD Hyde, WH Tian, SSN Maharachchikumbura

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Beyond observation: genomic traits and machine learning algorithms for predicting fungal lifestyles

Beyond observation: genomic traits and machine learning algorithms for predicting fungal

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来源期刊

Mycosphere MYCOLOGY-

CiteScore

30.00

自引率

8.20%

发文量

审稿时长

4 weeks

期刊介绍： Mycosphere stands as an international, peer-reviewed journal committed to the rapid dissemination of high-quality papers on fungal biology. Embracing an open-access approach, Mycosphere serves as a dedicated platform for the mycology community, ensuring swift publication of their valuable contributions. All submitted manuscripts undergo a thorough peer-review process before acceptance, with authors retaining copyright. Key highlights of Mycosphere's publication include: - Peer-reviewed manuscripts and monographs - Open access, fostering accessibility and dissemination of knowledge - Swift turnaround, facilitating timely sharing of research findings - For information regarding open access charges, refer to the instructions for authors - Special volumes, offering a platform for thematic collections and focused contributions. Mycosphere is dedicated to promoting the accessibility and advancement of fungal biology through its inclusive and efficient publishing process.