Details of 23 basic benchmark functions. by Ying Li (38224)

Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691. by Stephen R. Piccolo (8367780)

Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320. by Stephen R. Piccolo (8367780)

Optimal Drug-Target Docking Visualization. by Qijun Wo (12992781)

Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. by Stephen R. Piccolo (8367780)

“…Next, we sorted the algorithms based on the average rank across all dataset/class combinations. …”

<i>Patient 1</i> GA-optimized model error. by Dmitrii Smirnov (8822324)

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<i>Patient 8</i> GA-optimized model error. by Dmitrii Smirnov (8822324)

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Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

Algorithm verification. by Dmitrii Smirnov (8822324)

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Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691. by Stephen R. Piccolo (8367780)

Genetic Algorithm (GA) and CAGE-based personalization block diagrams. by Dmitrii Smirnov (8822324)

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IFS curves of two classification algorithms based on feature list yielded by MCFS. by Zhan Dong Li (12481390)

Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

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Algorithm 2: Maintain inhibitory densities coherence. by Dimitri Rodarie (10148838)

Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... by Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing hyperparameter optimization. by Stephen R. Piccolo (8367780)

“…For classification algorithms that included multiple hyperparameter combinations (n = 47), we performed hyperparameter optimization using the respective training sets. …”

DataSheet1_Establishment and Optimization of Radiomics Algorithms for Prediction of KRAS Gene Mutation by Integration of NSCLC Gene Mutation Mutual Exclusion Information.DOCX by Jingyi Wang (550305)

“…<p>Purpose: To assess the significance of mutation mutual exclusion information in the optimization of radiomics algorithms for predicting gene mutation.…”

Screening MMRG gene variables associated with UC based on the optimal machine learning model. by Li Li (14993)

Algorithm 1: Cap inhibitory densities to number of neurons. by Dimitri Rodarie (10148838)

Summary of predictive performance per dataset when using gene-expression predictors. by Stephen R. Piccolo (8367780)