iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

标题
iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria
作者
关键词
-
出版物
PLOS BIOLOGY
Volume 21, Issue 4, Pages e3002083
出版商
Public Library of Science (PLoS)
发表日期
2023-04-22
DOI
10.1371/journal.pbio.3002083

向作者/读者发起求助以获取更多资源

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search