Algorithm parameter setting. by Tianrui Zhang (2294542)

Subjects:

Algorithm parameter setting. by Tianrui Zhang (2294542)

Subjects:

Image 3_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff by Peng Liu (120506)

“…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …”

Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX by Zhen Wang (72451)

“…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”

Image_3_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif by Changqiang Wei (11454415)

“…This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. …”

Comparison of the running time(in ms) of the three algorithms. by Yaling Zhang (1687540)

3D schematic view of the welded beam design problem. by Jiahao Fan (11236401)

Subjects:

3D schematic view of the pressure vessel design problem. by Jiahao Fan (11236401)

Subjects:

Data_Sheet_3_Algorithmic Annotation of Functional Roles for Components of 3,044 Human Molecular Pathways.csv by Maxim Sorokin (4379848)

“…We proposed an algorithm that identifies functional roles of the pathway components and applied it to annotate 3,044 human molecular pathways extracted from the Biocarta, Reactome, KEGG, Qiagen Pathway Central, NCI, and HumanCYC databases and including 9,022 gene products. …”

The number of inactive nodes as a function of time steps at higher values of <i>P</i> and <i>α</i> in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

Proportion of edges of size 2, 3 or 4 cut by the algorithms. by Bogumił Kamiński (7827794)

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

Results of the SNMR kernel functions for different typical geological models. by Hanbo Chen (722038)

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

Subjects:

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

Subjects:

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

Subjects:

Comparison of performance metrics of three algorithms. by Junjie He (700642)

Subjects:

Handover percentage versus number of users. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”