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Table 1 Different type of data sets used in this work

From: LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP

Type

Dataset

Size

LogD

DB29-data

19,128

T-data

2753

Lipo

4200

LogP

PhysProp

13,688

NCI open

OChem

DiverseDataset

Retention time (RT)

SMRT

79,957

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Journal of Cheminformatics

ISSN: 1758-2946

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