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T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus.

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Consensus Ranking Approach to Understanding the Underlying Mechanism With QSAR., , , and . Journal of Chemical Information and Modeling, 50 (11): 1941-1948 (2010)A deep learning model to recognize food contaminating beetle species based on elytra fragments., , , , , , , , , and . Comput. Electron. Agric., (2019)Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury., , , , , , , , and . Journal of Chemical Information and Modeling, 57 (4): 1000-1006 (2017)CHD@ZJU: a knowledgebase providing network-based research platform on coronary heart disease., , , , , and . Database, (2013)T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus., , , , , , , and . Database, (2013)Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA., , , , , , , , , and 3 other author(s). BMC Bioinformatics, 20-S (2): 129-139 (2019)An Image Analysis Environment for Species Identification of Food Contaminating Beetles., , , , , , , , , and . AAAI, page 4375-4376. AAAI Press, (2016)Relating Anatomical Therapeutic Indications by the Ensemble Similarity of Drug Sets., , , , and . Journal of Chemical Information and Modeling, 53 (8): 2154-2160 (2013)