jmp built-in-modules (SAS institute)
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SAS institute
jmp built-in-modules
Jmp Built In Modules, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/jmp+built-in+module/jmp+built+in+modules/pm36607476-58-18-19
Average 90 stars, based on 1 article reviews
Jmp Built In Modules, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/jmp+built-in+module/jmp+built+in+modules/pm36607476-58-18-19
Average 90 stars, based on 1 article reviews
jmp built-in-modules - by Bioz Stars,
2026-09
90/100 stars
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Gene Expression:Article Title: Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma Article Snippet: Survival time distributions of the patients were calculated with the Kaplan-Meier estimator, a non-parametric statistical model based on the patient’s overall survival data, using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: PCA was performed with the normalized FPKM values using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: Correlations between gene expression and survival times were evaluated by the Cox proportional hazards regression analysis using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: Gene expression values were modified with the valiances from the means of patients, followed by hierarchical clustering analysis with the Ward method using the JMP built-in Expressing:Article Title: Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma Article Snippet: Survival time distributions of the patients were calculated with the Kaplan-Meier estimator, a non-parametric statistical model based on the patient’s overall survival data, using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: PCA was performed with the normalized FPKM values using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: Correlations between gene expression and survival times were evaluated by the Cox proportional hazards regression analysis using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: Gene expression values were modified with the valiances from the means of patients, followed by hierarchical clustering analysis with the Ward method using the JMP built-in Modification:Article Title: Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma Article Snippet: Survival time distributions of the patients were calculated with the Kaplan-Meier estimator, a non-parametric statistical model based on the patient’s overall survival data, using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: PCA was performed with the normalized FPKM values using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: Correlations between gene expression and survival times were evaluated by the Cox proportional hazards regression analysis using the JMP built-in Article Title: Promising Prognosis Marker Candidates on the Status of Epithelial–Mesenchymal Transition and Glioma Stem Cells in Glioblastoma Article Snippet: Gene expression values were modified with the valiances from the means of patients, followed by hierarchical clustering analysis with the Ward method using the JMP built-in |