Parameter map of optimal gene combination screened by Lasso algorithm. by MaoMeng Wang (22177417)

The proportion of neutrophils in SIC according to different algorithms. by Wan-Jing Zhen (20427813)

Cox model of LASSO model gene. by Wan-Jing Zhen (20427813)

Screening of variables based on Lasso regression. by Min-xiao Wang (20868922)

Subjects: “…revealed significant differences…”

Results from the LASSO model displaying the three largest positive and negative coefficients. by Nicole R. Holliday (20805719)

Effect of Mitophagy Score on Immunotherapy for Different Datasets. by Jie Chu (293795)

LASSO regression for screening candidate diagnostic biomarkers. by Zhe Wu (582498)

Prognostic Correlation Analysis of Different Risk Factors in GC. by Jie Chu (293795)

Differences in Immune Signatures Between High and Low-Risk Groups. by Jie Chu (293795)

Explained variance of features subsets using different machine learning algorithms: Fig 3 shows all the possible combinations of feature subsets, according to S3 Table in S1 Data, with corresponding explained variance estimated using different machine learning algorithms (Lasso, Ridge Regression, Support Vector Regression (SVR) and Extra Trees). by Qasim Bukhari (20896572)

Lasso gene RF hub gene. by Yinghao Ren (17915291)

“…Furthermore, we utilized least absolute shrinkage and selection operator (LASSO) regression and Random Forest (RF) algorithms to screen for hub genes. …”

The Coefficient of B₁ for the LASSO, Ridge and Elastic Net (from top to bottom respectively) versus <i>log</i>λ. by Omid Chatrabgoun (17960015)

Coefficient of B₁ for the LASSO, Ridge and Elastic Net (from top to bottom respectively) versus <i>log</i>λ. by Omid Chatrabgoun (17960015)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. by Omid Chatrabgoun (17960015)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. by Omid Chatrabgoun (17960015)

Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

“…Specifically, we convert the cardinality constraint into an equivalent constraint based on the largest-<i>K</i> norm, and reformulate the resultant constrained optimization problem into an unconstrained penalty form with a DC (difference of convex functions) representation. To solve this problem efficiently, we design a DC algorithm in which the graphical lasso algorithm is repeatedly executed to solve convex optimization subproblems. …”

The immune phenotype landscape in PAAD and normal and co-expression patterns of hub genes and immune cell subpopulations. a The stromal score, Immune score, ESTIMATE score and Tumo... by Qianxi Deng (21368593)

Prognostic Analysis of the Screened Mitophagy-Related Genes. by Jie Chu (293795)

Protein-Protein Interaction (PPI) and ceRNA Regulatory Network Analysis. by Jie Chu (293795)

GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups. by Jie Chu (293795)