IMPACT: interpretable microbial phenotype analysis via microbial characteristic traits

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Publication Details

Journal
Bioinformatics
Published
2024-12-10
DOI
https://doi.org/10.1093/bioinformatics/btae702
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.23

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article

IMPACT: interpretable microbial phenotype analysis via microbial characteristic traits

Xiangnan Xu, Jean Yang, Carolyn M. Sue, Wenze Ding et al.
1 citations
Bioinformatics
Biomedical Text Mining and Ontologies
0.23
article

IMPACT: interpretable microbial phenotype analysis via microbial characteristic traits

Xiangnan Xu, Jean Yang, Carolyn M. Sue, Wenze Ding, Daniel Mechtersheimer, Sanghyun Kim, Yue Cao
article en
1 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(1)
The University of Sydney (AU), Department of Health (CN), Laboratory of Data Discovery for Health (HK), Neuroscience Research Australia (AU)
University of Sydney, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 40%
Biomedical Text Mining and Ontologies
0.23
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