The flowchart of the proposed EAWOA. by ZeSheng Lin (20501356)

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Flowchart of BWEMFO. by Jingjing Ma (419752)

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Various MFOs from three mechanisms. by Jingjing Ma (419752)

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The flowchart of MFO. by Jingjing Ma (419752)

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Parameters. by Jingjing Ma (419752)

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Average running time of different algorithms. by Wei Liu (20030)

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Generated blended data using mouse brain cells and human embryonic heart cells, labeled as <i>Mix</i>[<i>a</i>,<i>b</i>,<i>c</i>], indicates the proportion of mouse brain cells fou... by Nuray Sogunmez Erdogan (21533872)

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Machine learning prediction of emesis and gastrointestinal state in ferrets by Ameya C. Nanivadekar (7517438)

“…It also examines the potential for machine learning algorithms to predict functional states, such as retching and emesis, from GI signal features. …”

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Image3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

“…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …”

Image1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

“…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …”

Image2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

“…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …”

Characterization and Classification Using Autoregressive Modeling and Machine Learning Algorithms by Noushin R. Farnoud (4925308)

Parameters of the test function. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Schematic diagram of the atomic function . by Xiang Tian (4369285)

The proposed feature extraction algorithm. by Ali Ahmed (2567584)

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Table 1_SRC is a potential target of Arctigenin in treating triple-negative breast cancer: based on machine learning algorithms, molecular modeling and in Vitro test.xlsx by Yuezhou Huang (9998177)

“…Machine learning algorithms were employed to identify hub genes, followed by validation through molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR) assays. …”

Table 2_SRC is a potential target of Arctigenin in treating triple-negative breast cancer: based on machine learning algorithms, molecular modeling and in Vitro test.xlsx by Yuezhou Huang (9998177)

“…Machine learning algorithms were employed to identify hub genes, followed by validation through molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR) assays. …”

Table 3_SRC is a potential target of Arctigenin in treating triple-negative breast cancer: based on machine learning algorithms, molecular modeling and in Vitro test.docx by Yuezhou Huang (9998177)

“…Machine learning algorithms were employed to identify hub genes, followed by validation through molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR) assays. …”

Test results of the benchmark functions, the dimension fixed to thirty. by Rahila Hafiz (18137254)