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0.694 ± 0.080: 0.897 . iPiDA-sHN: is an SVM-based classifier where the CNN was used to extract features of computed piRNA similarity and disease similarity from three independent biological sources. Furthermore, SVM-based two-step positive unlabeled learning was employed to construct reliable negative samples from unlabeled data and .. Shin-Yoon Kim (0000-0002-5445-648X) - ORCID. 10.1016/j.bone.2009.07.080. Part of ISSN: 8756-3282 shn-080. Show more detail. Source: Shin-Yoon Kim via Crossref Metadata Search Inhibitors of Osteoclast Formation from Rhizomes of Cibotium barometz. 2009 | Journal article DOI: 10.1021/np9004097

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Part of ISSN: 0163-3864. Show more detail. Source .. iPiDA-sHN: Identification of Piwi-interacting RNA . - ScienceDirect shn-080

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. The iPiDA-sHN predictor was re-trained with the remaining known associations and high quality negative associations related to other diseases. The re-trained iPiDA-sHN was used to detect the missing known associations of ‘Alzheimer’s disease’

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. The same operation was performed for the other target disease ‘Head and neck cancer. shn-080.

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3000 рублей в лирах