estimate (estimation of stromal and immune cells in malignant tumor tissues using expression data) algorithm Search Results


estimate (estimation of stromal and immune cells in malignant tumor tissues using expression data) algorithm  (SourceForge net)
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SourceForge net estimate (estimation of stromal and immune cells in malignant tumor tissues using expression data) algorithm
Estimate (Estimation Of Stromal And Immune Cells In Malignant Tumor Tissues Using Expression Data) Algorithm, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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estimation of stromal and immune cells in malignant tumors using expression data r package  (SourceForge net)
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SourceForge net estimation of stromal and immune cells in malignant tumors using expression data r package
Estimation Of Stromal And Immune Cells In Malignant Tumors Using Expression Data R Package, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
estimation of stromal and immune cells in malignant tumors using expression data r package - by Bioz Stars, 2026-10
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r package “estimation of stromal and immune cells in malignant tumor tissues using expression” (estimate)  (SourceForge net)
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SourceForge net r package “estimation of stromal and immune cells in malignant tumor tissues using expression” (estimate)
Correlation analysis of GNPNAT1 and immune infiltration, immunomodulator genes in LUAD. ( A ) Stromal scores, immune scores, <t>ESTIMATE</t> scores between high- GNPNAT1 -expression group and low- GNPNAT1 -expression group. ( B , C ) CIBERSORT analysis between the high- GNPNAT1 and low- GNPNAT1 group. ( C ) Correlation analysis of GNPNAT1 expression and immune infiltration. ( D ) Correlation analysis of GNPNAT1 and immunomodulator genes. * p < 0.05, ** p < 0.01, *** p < 0.001.
R Package “Estimation Of Stromal And Immune Cells In Malignant Tumor Tissues Using Expression” (Estimate), supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
r package “estimation of stromal and immune cells in malignant tumor tissues using expression” (estimate) - by Bioz Stars, 2026-10
90/100 stars
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Correlation analysis of GNPNAT1 and immune infiltration, immunomodulator genes in LUAD. ( A ) Stromal scores, immune scores, ESTIMATE scores between high- GNPNAT1 -expression group and low- GNPNAT1 -expression group. ( B , C ) CIBERSORT analysis between the high- GNPNAT1 and low- GNPNAT1 group. ( C ) Correlation analysis of GNPNAT1 expression and immune infiltration. ( D ) Correlation analysis of GNPNAT1 and immunomodulator genes. * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Biomedicines

Article Title: GNPNAT1 Serves as a Prognostic Biomarker Correlated with Immune Infiltration and Promotes Cancer Cell Metastasis through Stabilization of Snai2 in Lung Adenocarcinoma

doi: 10.3390/biomedicines12071477

Figure Lengend Snippet: Correlation analysis of GNPNAT1 and immune infiltration, immunomodulator genes in LUAD. ( A ) Stromal scores, immune scores, ESTIMATE scores between high- GNPNAT1 -expression group and low- GNPNAT1 -expression group. ( B , C ) CIBERSORT analysis between the high- GNPNAT1 and low- GNPNAT1 group. ( C ) Correlation analysis of GNPNAT1 expression and immune infiltration. ( D ) Correlation analysis of GNPNAT1 and immunomodulator genes. * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: The R package “Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression” (ESTIMATE) ( https://sourceforge.net/projects/estimateproject/ , accessed on 20 December 2023) was employed to evaluate the levels of immune cell infiltration, stromal content, and the stromal-immune comprehensive score for each LUAD sample within the TCGA-LUAD cohort [ ].

Techniques: Expressing