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Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure−Activity Relationship Studies
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferred← citeshttps://doi.org/10.1002/9783527613168.ch12openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cem.729openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cem.730openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/chin.199928277openalex-snapshot
ChemInform Abstract: Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure—Activity Relationship Studies.
inferred← citeshttps://doi.org/10.1002/elps.200800038openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aca.2003.12.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2009.09.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.snb.2008.01.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.trac.2012.09.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/08927020701361892openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10629361003773955openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/22297928.2013.856167openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/222979282000.10648255openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdps.2004.1303214openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/cbdd.12196openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/j.1747-0285.2008.00695.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1111/j.1747-0285.2008.00739.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1111/j.1747-0285.2009.00800.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1111/j.1747-0285.2009.00843.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1111/j.1747-0285.2010.00953.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0129065710002474openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13065-017-0269-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1556/achrom.22.2010.3.2openalex-snapshot
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inferred← citeshttps://doi.org/10.17485/ijst/2012/v5i2.7openalex-snapshot
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inferred← citeshttps://doi.org/10.2174/1568026023392869openalex-snapshot
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