Table 1_Comprehensive analysis of multi-omics vaccine response data using MOFA and Stabl algorithms.xlsx by Aanya Gupta (22611515)

“…Donors were also assigned a binary value (0 or 1), being labeled as high responders if they had a fold change ≥4 of the antibody titer for hemagglutination inhibition (HAI) from day 0 to day 28, and low responders otherwise (0). In this project, we used the MOFA and Stabl algorithms to analyze FluPRINT, estimate the population structure from the data, and identify the most important features for predicting response to the vaccine.…”

Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data. by Nick Birk (15444728)

“…<p>Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data.</p>…”

Data fitting and time-dependent parameters inferences for five regions within BC using the VOCs-INN algorithm. by Wenxuan Li (2566450)

Flowchart of SIMPLE algorithm and PISO algorithm. by Feng Gao (3548)

“…Results show that under the comprehensive consideration of calculation accuracy, calculation time and memory occupancy, using sinusoidal expiratory boundary conditions combined with the PISO algorithm, with the RNG <i>k-ε</i> model during expiratory phase, and switching into the laminar flow during inspiratory phase, is the optimal strategy of simulating human breathing.…”

Two-dimensional visualization of cell clustering in the Guo2 dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the iPSC dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the CellType dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Flowchart data balancing algorithm (SMOTE). by Xiangting Shi (21439579)

Comparative results with existing representative algorithms. by Yan Qin (118276)

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)

Subjects:

bppMigration-algorithms-data.tgz by Ziheng Yang (22169779)

Classification accuracy of different optimization algorithms and prediction models. by Xueying Kou (3940031)

Subjects: “…traditional optimization algorithms…”

Data size, algorithm, and cross validation metrics in case study 1. by Lillian Li (11337679)

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Partial polishing of experimental data. by Ma Haohao (22177538)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

Knowledge Graph validation using SHACL Shapes by Ángel Iglesias Préstamo (19745767)

Comparison of the performance of ML algorithms in predicting maize yield using 5-fold CV. by Oumnia Ennaji (20442244)