The hyperparameters and their search ranges used by the genetic algorithm, final values for each threshold model are listed in their given columns. by Michael S. Bradshaw (11772750)

“…<p>The hyperparameters and their search ranges used by the genetic algorithm, final values for each threshold model are listed in their given columns.…”

Statistics of the different columns. by Jürgen Kampf (21354027)

Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of... by Jordan Moutet (21800145)

Each column represents a cluster designated by FRECL, either when considering the average across the two days (1d) or the two days separately (2d). by Susana Conde (5495675)

In this figure we show the output of the half-loop biclustering algorithm applied to the BDRN cohort in arm-1 (limited to those SNPs with maf ≥0.25). by Caroline C. McGrouther (5216153)

Comparison of Point Cloud rigid registration algorithms. by Morena Raiola (22439390)

ClustAll performance against standard clustering algorithms. by Asier Ortega-Legarreta (18860557)

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons by Owen Powell (16328658)

Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm by Milica Brkić (20112439)

Mean, standard deviation (SD) and coefficient of variation (CV) of MRI-derived myelin water fraction (MWF) in the medial corpus callosum (MCC). Values were obtained using the data-... by Noam Omer (21402801)

Relevant training splits of the VessMAP dataset. Each row shows the average Dice score obtained on the remaining 96 samples when training a neural network using the four images ind... by Matheus Viana da Silva (21433572)

Robust Design for Order-of-Addition Experiments by Yiran Huang (1450759)

“…A genetic algorithm is used to search for such designs. …”

Significantly enriched Gene ontology (GO) terms in select modules detected using the DGCA algorithm. by Fang Liu (13271)

Binding free energy calculations between Ca_v3.1 and its native ligand (Z944) or montelukast by MMPBSA and MMGBSA. <i>ΔE</i>_vdW represents the van der Waals en... by Pedro Fong (2378413)

FIRST segmentation FDWM-referenced age-corrected effect sizes across BFR-specific regularization parameters with three inversion algorithms. by Fahad Salman (6150395)

A summary of all significant findings from the multi-factor ANOVA. For brevity, we have included only the metrics and effects that were statistically significant (p<0.05). In the f... by Alex J. Allphin (17102503)

Significantly enriched Gene Ontology (GO) terms among the 512 genes showing significant results in the all ancestry TWAS. Enrichment analyses were conducted using the multi-query i... by Jenna C. Carlson (3950024)

Variable selection of final model fits in all gene expression simulation settings with <i>q</i> = 3 random effects. by Evan Gorstein (20553314)

Variable selection for microbiome data. by Evan Gorstein (20553314)

Change of EPS outputs (<i>v</i>₂ = 70 km/h). by Tuan Anh Nguyen (121944)