Supplementary information_CEAM by Ehsan Pishva (20540561)

“…<p dir="ltr">DNA methylation signatures are highly cell type-specific, yet most epigenome-wide association studies (EWAS) are performed on bulk tissue, potentially obscuring critical cell type-specific patterns. …”

Data Sheet 1_Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide.pdf by Manuel Alejandro Rojo-Romero (20756459)

“…In addition, this information was analyzed using machine learning (ML) algorithms to propose a model for predicting suicide.…”

Table 1_From meal to malfunction: exploring molecular pathways, biomarkers and interventions in postprandial cardiometabolic health.docx by Claudia Reytor-González (19917545)

“…This review prioritizes human studies from 2020 to 2025 and uses earlier work only as foundational anchors; non-English reports were excluded and preclinical findings are cited solely for mechanistic context. …”

Image 4_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.jpeg by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Image 2_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.jpeg by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Image 3_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.jpeg by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Table 1_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.xlsx by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Table 2_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.xlsx by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Image 1_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.jpeg by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Table 3_SCPEP1+ basal cells are associated with the remodeling of oxidative stress signaling networks in idiopathic pulmonary fibrosis.xlsx by Xiang Zhou (164107)

“…Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. …”

Image 1_Biological and prognostic insights into the prostaglandin D2 signaling axis in lung adenocarcinoma.pdf by Qiang Liu (166143)

“…The TCGA‐LUAD datasets was used to estimate and analyze immune cell infiltration levels and tumor hot score using the ESTIMATE and ssGSEA algorithms. Additionally, survival analysis was conducted on genes within relative signaling axis. …”

Table 1_Biological and prognostic insights into the prostaglandin D2 signaling axis in lung adenocarcinoma.xlsx by Qiang Liu (166143)

“…The TCGA‐LUAD datasets was used to estimate and analyze immune cell infiltration levels and tumor hot score using the ESTIMATE and ssGSEA algorithms. Additionally, survival analysis was conducted on genes within relative signaling axis. …”