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Gene-disease-drug link prediction using tripartite graphs., , , and . BCB, page 76:1. ACM, (2021)Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016: Cadiz, KY, USA. 8-10 April 2016., , , , , , , , , and 70 other author(s). BMC Bioinform., (August 2016)VinaMPI: Facilitating multiple receptor high-throughput virtual docking on high-performance computers., , and . J. Comput. Chem., 34 (25): 2212-2221 (2013)Computationally characterizing genomic pipelines using high-confident call sets., and . ICCS, volume 80 of Procedia Computer Science, page 1023-1032. Elsevier, (2016)Quantifying Overfitting Potential in Drug Binding Datasets., , , and . ICCS (3), volume 12139 of Lecture Notes in Computer Science, page 585-598. Springer, (2020)Accelerating virtual high-throughput ligand docking: current technology and case study on a petascale supercomputer., , , , and . Concurr. Comput. Pract. Exp., 26 (6): 1268-1277 (2014)Serendipitous discoveries in microarray analysis., , , , , , and . BMC Bioinform., 11 (S-4): P24 (2010)Towards a better understanding of on and off target effects of the lymphocyte-specific kinase LCK for the development of novel and safer pharmaceuticals., , , and . ICCS, volume 108 of Procedia Computer Science, page 1222-1231. Elsevier, (2017)