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Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization for identification of predictive models of acute infection and in-hospital mortality.

M. Mayhew, E. Tran, K. Choi, U. Midic, R. Lüthy, N. Damaraju, and L. Buturovic. CoRR, (2020)

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Exploring alternative knowledge representations for protein secondary-structure prediction.U. Midic, A. Dunker, and Z. Obradovic. IJDMB, 1 (3): 286-313 (2007)Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments.U. Midic, A. Dunker, and Z. Obradovic. CIBCB, page 490-497. IEEE, (2005)Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality.M. Mayhew, E. Tran, K. Choi, U. Midic, R. Lüthy, N. Damaraju, and L. Buturovic. PSB, WorldScientific, (2021)Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet.U. Midic, A. Dunker, and Z. Obradovic. KDD Workshop on Statistical and Relational Learning in Bioinformatics, page 27-31. ACM, (2009)A Hybrid Genetic and Variable Neighborhood Descent for Probabilistic SAT Problem.Z. Ognjanovic, U. Midic, and N. Mladenovic. Hybrid Metaheuristics, volume 3636 of Lecture Notes in Computer Science, page 42-53. Springer, (2005)A Genetic Algorithm for Probabilistic SAT Problem.Z. Ognjanovic, U. Midic, and J. Kratica. ICAISC, volume 3070 of Lecture Notes in Computer Science, page 462-467. Springer, (2004)Optimization of genomic classifiers for clinical deployment: evaluation of Bayesian optimization for identification of predictive models of acute infection and in-hospital mortality.M. Mayhew, E. Tran, K. Choi, U. Midic, R. Lüthy, N. Damaraju, and L. Buturovic. CoRR, (2020)Intrinsic Disorder in Putative Protein Sequences.U. Midic, and Z. Obradovic. BIBM, page 43-48. IEEE Computer Society, (2011)

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