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Multi-center validation of machine learning model for preoperative prediction of postoperative mortality., , , , , , , , and . npj Digit. Medicine, (2022)23.1 20nm high-K metal-gate heterogeneous 64b quad-core CPUs and hexa-core GPU for high-performance and energy-efficient mobile application processor., , , , , , , , , and 14 other author(s). ISSCC, page 1-3. IEEE, (2015)Analog Circuit Design with Dyna-Style Reinforcement Learning., and . CoRR, (2020)Predicting Transcription Factor Binding Sites in DNA Sequences Without Prior Knowledge., , , , , and . ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 386-391. Springer, (2016)Finding Potential RNA Aptamers for a Protein Target Using Sequence and Structure Features., , and . ICIC (1), volume 10954 of Lecture Notes in Computer Science, page 888-892. Springer, (2018)Constructing a Cancer Patient-Specific Network Based on Second-Order Partial Correlations of Gene Expression and DNA Methylation., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (1): 266-276 (January 2023)Quantum Chemical-Based Protocol for the Rational Design of Covalent Inhibitors, , , , , , , , , and 4 other author(s). Journal of the American Chemical Society, 138 (27): 8332--8335 (July 2016)PRIdictor: Protein-RNA Interaction predictor., , , and . Biosyst., (2016)A New Approach to Deriving Prognostic Gene Pairs From Cancer Patient-Specific Gene Correlation Networks., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (3): 1267-1276 (2022)Predicting protein-binding regions in RNA using nucleotide profiles and compositions., , , , and . BMC Syst. Biol., 11 (S-2): 16:1-16:12 (2017)