他剪短 发表于 2025-3-21 16:03:48

书目名称Machine Learning for Microbial Phenotype Prediction影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0620632<br><br>        <br><br>书目名称Machine Learning for Microbial Phenotype Prediction读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0620632<br><br>        <br><br>

cutlery 发表于 2025-3-21 22:42:58

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patriarch 发表于 2025-3-22 01:11:34

2625-3577 microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic datasets. The results suggest that the presented prediction tool can be used to automatically annotate phenotypes in near-comp

palpitate 发表于 2025-3-22 05:20:41

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征服 发表于 2025-3-22 10:29:55

2625-3577 netic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data.978-3-658-14318-3978-3-658-14319-0Series ISSN 2625-3577 Series E-ISSN 2625-3615

Kaleidoscope 发表于 2025-3-22 15:23:06

Book 2016. Unraveling relationships between a living organism‘s genetic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data.

MEN 发表于 2025-3-22 18:50:13

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眨眼 发表于 2025-3-22 21:58:39

https://doi.org/10.1007/978-3-658-14319-0bioinformatics; microorganisms; metagenomics; genotype; classification

ARM 发表于 2025-3-23 05:22:16

978-3-658-14318-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies

消瘦 发表于 2025-3-23 08:56:10

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查看完整版本: Titlebook: Machine Learning for Microbial Phenotype Prediction; Roman Feldbauer Book 2016 The Editor(s) (if applicable) and The Author(s), under excl