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DASPfind: new efficient method to predict drug-target interactions.

, , , , and . J. Cheminformatics, 8 (1): 15:1-15:9 (2016)

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PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies., , , , , , , , , and . Nucleic Acids Res., 46 (Database-Issue): D994-D1002 (2018)Novel Methods for Drug-Target Interaction Prediction using Graph Mining.. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2016)base-search.net (ftkingabdullahun:oai:repository.kaust.edu.sa:10754/619165).Sharing and Reusing Cancer Image Segmentation Algorithms Using Scientific Workflows: Pros and Cons., , , , and . eScience, page 94-101. IEEE Computer Society, (2009)DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning., , , , , and . J. Cheminformatics, 8 (1): 64:1-64:14 (2016)Evaluation of statistical approaches for association testing in noisy drug screening data., , , , , , , , , and 2 other author(s). BMC Bioinform., 23 (1): 188 (2022)HOCOMOCO: expansion and enhancement of the collection of transcription factor binding sites models., , , , , , , , , and 1 other author(s). Nucleic Acids Res., 44 (Database-Issue): 116-125 (2016)DASPfind: new efficient method to predict drug-target interactions., , , , and . J. Cheminformatics, 8 (1): 15:1-15:9 (2016)