Research graph
References from A benchmark analysis of feature selection and machine learning methods for environmental metabarcoding datasets. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.3389/fenvs.2019.00177 · External reference
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2019 · External reference
10.1016/j.scitotenv.2020.137782
10.1016/j.scitotenv.2020.137782 · External reference
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10.1016/j.tim.2018.10.012
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10.3389/fmicb.2022.869093 · External reference
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10.1038/nmeth.3869 · External reference
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10.1038/ismej.2017.119 · External reference
10.1186/s40168-017-0237-y
10.1186/s40168-017-0237-y · External reference
10.1128/msystems.00993-21
10.1128/msystems.00993-21 · External reference
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10.1371/journal.pone.0236932 · External reference
10.3389/fmicb.2021.626048
10.3389/fmicb.2021.626048 · External reference
10.1128/mbio.00326-15
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10.1016/j.ecolind.2022.109050 · External reference
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10.1016/j.scitotenv.2022.153732 · External reference
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10.7717/peerj.2969 · External reference
10.1016/j.csbj.2021.01.028
10.1016/j.csbj.2021.01.028 · External reference
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10.1162/153244303322753616 · External reference
10.1186/s13040-016-0114-4
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10.1016/j.csda.2019.106839 · External reference
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10.1155/2015/198363 · External reference
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10.1016/s0003-2670(01)01271-5 · External reference
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10.1038/s41467-017-01312-x · External reference
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10.1371/journal.pone.0176335 · External reference
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10.1038/sdata.2018.130 · External reference
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10.1038/s43705-022-00119-2 · External reference
10.1128/msphere.00169-17
10.1128/msphere.00169-17 · External reference
10.3389/fmicb.2020.00154
10.3389/fmicb.2020.00154 · External reference
10.3897/mbmg.2.21519
10.3897/mbmg.2.21519 · External reference
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10.1111/1462-2920.14992 · External reference
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10.1038/s41467-018-05020-y · External reference
10.1128/aem.01804-19
10.1128/aem.01804-19 · External reference
10.1128/msphere.00481-19
10.1128/msphere.00481-19 · External reference
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10.1073/pnas.1919139117 · External reference
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2003 · External reference
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10.1023/a:1012487302797 · External reference
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10.1023/a:1010933404324 · External reference
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10.1890/08-1823.1 · External reference
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Scikit-learn: machine learning in python
2011 · External reference
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10.1038/s41586-020-2649-2
10.1038/s41586-020-2649-2 · External reference
10.1109/mcse.2007.55
10.1109/mcse.2007.55 · External reference
10.25080/majora-92bf1922-00a
10.25080/majora-92bf1922-00a · External reference
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2019 · External reference
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2017 · External reference
10.18637/jss.v021.i12
10.18637/jss.v021.i12 · External reference
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10.1007/978-3-319-24277-4
10.1007/978-3-319-24277-4 · External reference
10.1890/0012-9658(2007)88[243:btfema]2.0.co;2
10.1890/0012-9658(2007)88[243:btfema]2.0.co;2 · External reference
10.1038/s41564-017-0062-x
10.1038/s41564-017-0062-x · External reference
10.1126/science.aap9516
10.1126/science.aap9516 · External reference
10.1186/s12859-018-2419-4
10.1186/s12859-018-2419-4 · External reference
10.1016/j.marpolbul.2019.110530
10.1016/j.marpolbul.2019.110530 · External reference
10.1038/s42003-020-0856-x
10.1038/s42003-020-0856-x · External reference
10.1111/mec.15489
10.1111/mec.15489 · External reference
10.1111/mec.15872
10.1111/mec.15872 · External reference
10.1038/s43247-024-01410-x
10.1038/s43247-024-01410-x · External reference
10.1186/s12859-018-2264-5
10.1186/s12859-018-2264-5 · External reference
10.1016/j.inffus.2021.11.011
10.1016/j.inffus.2021.11.011 · External reference
10.3389/fmicb.2017.02224
10.3389/fmicb.2017.02224 · External reference
10.1093/bioinformatics/bty175
10.1093/bioinformatics/bty175 · External reference
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10.1371/journal.pcbi.1003531
10.1371/journal.pcbi.1003531 · External reference
10.1038/s41467-022-28034-z
10.1038/s41467-022-28034-z · External reference
10.1128/msystems.00016-19
10.1128/msystems.00016-19 · External reference
10.3389/fbinf.2022.821861
10.3389/fbinf.2022.821861 · External reference
10.1128/msystems.00053-18
10.1128/msystems.00053-18 · External reference
10.1128/msystems.00230-19
10.1128/msystems.00230-19 · External reference
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