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Table 6 Performance comparison of LDNFSGB and six state-of-the-art models in terms of AUC on Lnc2Cancer using LOOCV

From: LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting

Method Year AUC
LRLSLDA-ILNCSIM [40] 2016 0.9094
LRLSLDA [40] 2016 0.8263
LRLSLDA-ILNCSIM1 [40] 2016 0.9046
LRLSLDA-ILNCSIM2 [40] 2016 0.9009
Ping et al.’s Method [21] 2018 0.8983
Yuan et al.’s Method [30] 2020 0.8410
LDNFSGB - 0.9303
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BMC Bioinformatics

ISSN: 1471-2105

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