Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications
Reference45 articles.
1. Ding H, Takigawa I, Mamitsuka H, Zhu S (2014) Similarity-based machine learning methods for predicting drug–target interactions: a brief review. Brief Bioinform 15(5):734–747
2. Ball N, Cronin MT, Shen J, Blackburn K, Booth ED, Bouhifd M, Donley E, Egnash L, Hastings C, Juberg DR, Kleensang A (2015) Toward good read-across practice (GRAP) guidance. Altex 33(2):149–166
3. Yamanishi Y, Araki M, Gutteridge A, Honda W, Kanehisa M (2008) Prediction of drug–target interaction networks from the integration of chemical and genomic spaces. Bioinformatics 24(13):232–240
4. Pahikkala T, Airola A, Pietila S et al (2015) Toward more realistic drug-target interaction predictions. Brief Bioinform 16(2):325–337. doi:
10.1093/bib/bbu010
5. Liu Y, Wu M, Miao C, Zhao P, Li XL (2016) Neighborhood regularized logistic matrix factorization for drug–target interaction prediction. PLoS Comput Biol 12(2):e1004760
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