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Predict effective drug combination by deep belief network and ontology fingerprints.

, , , and . J. Biomed. Informatics, (2018)

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Augmenting Microarray Data with Literature-Based Knowledge to Enhance Gene Regulatory Network Inference., , , , and . PLoS Comput. Biol., (2014)Restructured GEO: restructuring Gene Expression Omnibus metadata for genome dynamics analysis., , , , , , and . Database J. Biol. Databases Curation, (2019)Feature Compression for Predicting Effective Drug Combination., , and . SEPDA@ISWC, volume 2427 of CEUR Workshop Proceedings, page 58-62. CEUR-WS.org, (2019)Using Ontology Fingerprints to Disambiguate Gene Name Entities in the Biomedical Literature., , , , , , , , , and 3 other author(s). ICBO, volume 1327 of CEUR Workshop Proceedings, page 66. CEUR-WS.org, (2014)Developing Combination Cancer Therapy from Ontology Fingerprint Derived Gene Network., , , , , , and . CRI, AMIA, (2016)Predict effective drug combination by deep belief network and ontology fingerprints., , , and . J. Biomed. Informatics, (2018)Understanding Individual Experiences of Chronic Illness with Semantic Space Models of Electronic Discussions., , , , , and . CBMS, page 548-553. IEEE Computer Society, (2007)Using Ontology Fingerprints to disambiguate gene name entities in the biomedical literature., , , , , , , , , and 6 other author(s). Database J. Biol. Databases Curation, (2015)Gene fingerprint model for literature based detection of the associations among complex diseases: a case study of COPD., , , , , , and . BMC Medical Informatics Decis. Mak., 19-S (1): 20:1-20:9 (2019)Semantic Space models for classification of consumer webpages on metadata attributes., , and . J. Biomed. Informatics, 43 (5): 725-735 (2010)