MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

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

Subjects:

Unsupervised Machine Learning for Differential Analysis in Proteomics by Guanyang Xu (22379531)

Subjects:

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

A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

Subjects:

Table 3_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx by Weiran Zhang (411189)

“…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …”

Table 2_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx by Weiran Zhang (411189)

“…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …”

Image 3_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif by Weiran Zhang (411189)

“…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …”

Image 2_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif by Weiran Zhang (411189)

“…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …”

Image 1_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.tif by Weiran Zhang (411189)

“…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …”

Table 1_Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning.xlsx by Weiran Zhang (411189)

“…Pseudotime trajectories were constructed using Monocle2, and branch-specific genes were extracted for functional analysis. …”

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

Data Sheet 1_Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and explora... by Jinpu Peng (748597)

“…Second, machine learning algorithms were utilized to identify the key genes among them, and the HPA database was used to explore the expression landscape. …”

Image 2_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif by Qi Wu (263110)

“…Fourteen hub genes were identified using the two algorithms. The PPI networks of the hub genes were analyzed using the Cytoscape plugin CytoNCA to obtain two key genes (IL10 and Integrin α5 (ITGA5)). …”

Table 1_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.xlsx by Qi Wu (263110)

“…Fourteen hub genes were identified using the two algorithms. The PPI networks of the hub genes were analyzed using the Cytoscape plugin CytoNCA to obtain two key genes (IL10 and Integrin α5 (ITGA5)). …”

Image 3_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif by Qi Wu (263110)

“…Fourteen hub genes were identified using the two algorithms. The PPI networks of the hub genes were analyzed using the Cytoscape plugin CytoNCA to obtain two key genes (IL10 and Integrin α5 (ITGA5)). …”

Image 4_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif by Qi Wu (263110)

“…Fourteen hub genes were identified using the two algorithms. The PPI networks of the hub genes were analyzed using the Cytoscape plugin CytoNCA to obtain two key genes (IL10 and Integrin α5 (ITGA5)). …”

Image 1_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.jpeg by Qi Wu (263110)

“…Fourteen hub genes were identified using the two algorithms. The PPI networks of the hub genes were analyzed using the Cytoscape plugin CytoNCA to obtain two key genes (IL10 and Integrin α5 (ITGA5)). …”

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

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)