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Table_1_Combined network analysis and interpretable machine..:
Yueyang Yan
;
Tao Shi
;
Xin Bao
...
doi:10.3389/fmicb.2023.1147007.s002. , 2023
Link:
https://doi.org/10.3389/fmicb.2023.1147007.s002
RT Journal T1
Table_1_Combined network analysis and interpretable machine learning reveals the environmental adaptations of more than 10,000 ruminant microbial genomes.xlsx
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_24165657&Exemplar=1&LAN=DE A1 Yueyang Yan A1 Tao Shi A1 Xin Bao A1 Yunpeng Gai A1 Xingxing Liang A1 Yu Jiang A1 Qiushi Li YR 2023 K1 Microbiology K1 Microbial Genetics K1 Microbial Ecology K1 Mycology K1 ruminants K1 metagenomics K1 machine learning K1 network K1 metagenome-assembled genome JF doi:10.3389/fmicb.2023.1147007.s002 LK http://dx.doi.org/https://doi.org/10.3389/fmicb.2023.1147007.s002 DO https://doi.org/10.3389/fmicb.2023.1147007.s002 SF ELIB - SuUB Bremen
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