Hyper parameter settings for ML Algorithms. by R. S. Jayaram (22139155)

Performance measurement comparisons of machine learning methods based on the DLBCL-D data set after WKPCA dimension reduction. by Wen Bo Liu (11559222)

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Performance measurement comparisons of machine learning methods based on the Multi-A data set after WKPCA dimension reduction. by Wen Bo Liu (11559222)

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Performance measurement comparisons of machine learning methods based on the DLBCL-B data set after WKPCA dimension reduction. by Wen Bo Liu (11559222)

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Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

DataSheet_1_Identification and Verification of Diagnostic Biomarkers for Glomerular Injury in Diabetic Nephropathy Based on Machine Learning Algorithms.pdf by Hongdong Han (12564889)

“…With the help of the ConsensusClusterPlus and WGCNA packages, the 81 glomerular DN samples were distinctly divided into two subclusters, and two highly associated modules were identified. By using machine learning algorithms (LASSO, RF, and SVM-RFE) and the Venn diagram, two overlapping genes (PRKAR2B and TGFBI) were finally determined as potential biomarkers, which were further validated in external testing datasets and the HFD/STZ-induced mouse models. …”

DFTB Simulation of Charged Clusters Using Machine Learning Charge Inference by Paul Guibourg (18473585)

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Unsupervised Machine Learning Organization of the Functional Dark Proteome of Gram-Negative “Superbugs”: Six Protein Clusters Amenable for Distinct Scientific Applications by Carlos Sicilia (14228509)

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Distinct microbial and functional composition between age groups. by Elio L. Herzog (11576876)

Subjects: “…applying independent algorithms…”

Differential expression of DSRGs, PPI, and functional enrichment analysis for DSRGs in AMI. by Nan Huang (464390)

DataSheet_1_APOC1 as a novel diagnostic biomarker for DN based on machine learning algorithms and experiment.zip by Kuipeng Yu (13860449)

Construction process of dam deformation prediction model based on PSR-SVM-DEGWO. by Mingjun Li (178925)

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Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

IFS performance with different classification algorithms and number of top features in the list yielded by MCFS. by Zhan Dong Li (12481390)

ROC analysis of the Machine Learning Algorithm. by Stephan Ellmann (314565)

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Table_6_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xls by Pamela Vernocchi (791125)

Table_1_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xlsx by Pamela Vernocchi (791125)

Table_7_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xlsx by Pamela Vernocchi (791125)

Table_8_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.csv by Pamela Vernocchi (791125)

Table_3_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.xlsx by Pamela Vernocchi (791125)