Risk Groups Immune Infiltration Analysis by ssGSEA Algorithm. by Yongling Wang (13261656)

Cell-type marker genes and functional enrichment analysis. by Hailin Li (453832)

Comparison of different optimization algorithms. by Hang Zhao (143592)

Graphical illustration of the JF algorithm. by Bernd Porr (32394)

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. by Chengting Wu (21485612)

Comparison of error values for trajectories generated by DMP, GMM, and GMM-KVS: (A) mean absolute error; (B) root mean square error. by Jingnan Yan (20727331)

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.</li></ol><p dir="ltr">Read the <b>readMe.txt </b>to find detailed information of each file.…”

Data analyzed for the article of <b>Evaluating photoplethysmography-based pulsewave parameters and composite scores for assessment of cardiac function: A comparison with echocardio... by Kulin (20907929)

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. by Tianbao Feng (21722233)

Demonstration process of the robotic arm transporting an object: (A) starting position; (B) via position 1; (C) via position 2; (D) target position. by Jingnan Yan (20727331)

The process of the robotic arm autonomously transporting an object: (A) starting position; (B) via position 1; (C) via position 2; (D) target position. by Jingnan Yan (20727331)

Functional analysis of anoikis-related genes. by Yufeng He (5673119)

The 3Mont summary statistics for the top 10 most significant pro-groups that are identified for BRCA molecular subtypes (HR+ and HR-) dataset. These statistics include Frequency of... by Miray Unlu Yazici (14792680)

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Distribution of pro-group sizes before and after selecting the top 10 features. by Miray Unlu Yazici (14792680)

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Internal cross-validation step of S component in 3Mont. by Miray Unlu Yazici (14792680)

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Workflow of 3Mont. by Miray Unlu Yazici (14792680)

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Performance evaluation metrics of 3Mont across different cancer types. The total sample size column lists the numbers of the tumor and control samples, respectively. A 1:1 sampling... by Miray Unlu Yazici (14792680)

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Generated network illustrating the pro-groups and their associated features that are identified by 3Mont for differentiating among the BRCA molecular subtypes (HR by Miray Unlu Yazici (14792680)

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Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)