Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

الموضوعات:

Activation functions: Sigmoid function and ReLU function. حسب Wan-Hua Zhang (21601139)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. حسب Alexandria M. Jensen (6494957)

الموضوعات: "…community detection algorithms…"

Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials. حسب Abeer Aljohani (18497914)

الموضوعات:

Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. حسب Abeer Aljohani (18497914)

الموضوعات:

Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. حسب Abeer Aljohani (18497914)

الموضوعات:

Examples of between- and within-community Beta distributions. حسب Alexandria M. Jensen (6494957)

الموضوعات: "…community detection algorithms…"

Data pre-processing and identification of DEGs. حسب Ziyang Liu (242055)

الموضوعات:

Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. حسب Abeer Aljohani (18497914)

الموضوعات:

Accuracy of the support vector machines for different proportion of test samples. حسب Abeer Aljohani (18497914)

الموضوعات:

Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

الموضوعات: "…community detection algorithms…"

Graphical illustration of a spectral approach for training support vector machine. حسب Abeer Aljohani (18497914)

الموضوعات:

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

الموضوعات:

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. حسب Abeer Aljohani (18497914)

الموضوعات:

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

Average function evaluation times of the three optimization algorithms. حسب Shuhui Yu (1535500)

Table 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.xlsx حسب 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). …"

Image 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب 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). …"

Image 4_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب 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). …"