Multi-trait analysis can accurately estimate the proportion of shared risk genes and single-trait risk genes. by Yuhan Xie (9937449)

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Power and FDR of M-DATA under model misspecification. by Yuhan Xie (9937449)

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Comparison of the top five upregulated and top five downregulated molecular function GO terms of Unipept with the molecular function GO terms from the other tools from the oral dys... by Ray Sajulga (5721518)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

“…Whiskers show the lowest and highest values within 1.5 × <i>IQR</i> from the first and third quartiles, respectively. …”

Kaplan–Meier survival function from METABRIC (training) data. by Luke Kumar (7871492)

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

Top-ranked hub genes identified by 5 cytoHubba algorithms. by Jun Li (6494)

libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

Rim data percentage for multimorbid individuals as a function of the number of clusters. by Anders Stockmarr (405316)

Flowchart for Algorithm 1. by Sagvan Y. Musa (17797611)

Flowchart for Algorithm 2. by Sagvan Y. Musa (17797611)

PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

“…</p><p dir="ltr">In terms of classification, a second algorithm was developed and employed to preliminary sort or group the individual cells (after excluding the overlapping cells manually) into different categories using five geometric measurements applied to the extracted contour from each binary image mask (see PathOlOgics_script_2; preliminary shape measurements). …”

Algorithm of the brightness scale calibration experiment. by Krzysztof Petelczyc (3954203)

“…The “level” denotes the number of perceptually equal units of brightness, while the scale is an array storing brightness vs. luminous intensity function values.</p>…”

Ridgeline plot for the probability density function of intracranial pressure predictions derived from the Extreme Gradient Boost algorithm of the arterial and venous pulsation data. by Anmar Abdul-Rahman (688431)

Tuned parameters of algorithms. by Kaveh Faraji Googerdchi (18778727)

Flowchart for the unsupervised SOM algorithm modified from Seifert et al. [56] with permission. by Sergio Montalt-García (17696115)

Classification and test comparison of padé33-SSVM under different training sample functions. by Jianjian Wang (288375)

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IEEE CEC 2017 benchmark function specifications. by Kankan Tang (21474968)