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comparative marker selection module genepattern  (Broad Institute Inc)

 
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    Broad Institute Inc comparative marker selection module genepattern
    Comparative Marker Selection Module Genepattern, supplied by Broad Institute Inc, 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/result/comparative marker selection module genepattern/product/Broad Institute Inc
    Average 90 stars, based on 1 article reviews
    comparative marker selection module genepattern - by Bioz Stars, 2026-03
    90/100 stars

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    Comparative clinical characteristics of the PUC and TCGA-OV cohorts.

    Journal: Cancers

    Article Title: Body Composition and Metabolic Dysfunction Really Matter for the Achievement of Better Outcomes in High-Grade Serous Ovarian Cancer

    doi: 10.3390/cancers15041156

    Figure Lengend Snippet: Comparative clinical characteristics of the PUC and TCGA-OV cohorts.

    Article Snippet: Differential expression analyses were carried out using raw counts and the comparative marker selection module (genepattern, Broad Institute, Cambridge, MA, USA [ ]) to calculate the significant differences in gene expression between classes.

    Techniques: Imaging

    Comparative progression-free (PFS; A ) and overall survival (OS; B ) curves, prevalence of different TCGA-OV molecular subtypes ( C ), tumor microenvironment (TME) subtypes (desert [D], fibrotic [F], immune-enriched non-fibrotic [IE], and immune-enriched fibrotic [IE/F]; ( D ), immune subtypes ( E ), tumor mutation burden level (TMB; F ), stemness subtype ( G ), ESTIMATE score ( H ), and prevalence of carcinoma ecotypes (CE, I ) and plasma cell (PC) states (S, J ) according to obesity and lipid metabolism clustering using RNA-seq data from the TCGA-OV cohort.

    Journal: Cancers

    Article Title: Body Composition and Metabolic Dysfunction Really Matter for the Achievement of Better Outcomes in High-Grade Serous Ovarian Cancer

    doi: 10.3390/cancers15041156

    Figure Lengend Snippet: Comparative progression-free (PFS; A ) and overall survival (OS; B ) curves, prevalence of different TCGA-OV molecular subtypes ( C ), tumor microenvironment (TME) subtypes (desert [D], fibrotic [F], immune-enriched non-fibrotic [IE], and immune-enriched fibrotic [IE/F]; ( D ), immune subtypes ( E ), tumor mutation burden level (TMB; F ), stemness subtype ( G ), ESTIMATE score ( H ), and prevalence of carcinoma ecotypes (CE, I ) and plasma cell (PC) states (S, J ) according to obesity and lipid metabolism clustering using RNA-seq data from the TCGA-OV cohort.

    Article Snippet: Differential expression analyses were carried out using raw counts and the comparative marker selection module (genepattern, Broad Institute, Cambridge, MA, USA [ ]) to calculate the significant differences in gene expression between classes.

    Techniques: Mutagenesis, Clinical Proteomics, RNA Sequencing

    KEY RESOURCES TABLE

    Journal: Cell host & microbe

    Article Title: Daily rhythms of TNFα expression and food intake regulate synchrony of Plasmodium stages with the host circadian cycle

    doi: 10.1016/j.chom.2018.04.016

    Figure Lengend Snippet: KEY RESOURCES TABLE

    Article Snippet: Comparative Marker Selection suite , University of California and Broad Institute , https://software.broadinstitute.org/cancer/software/genepattern.

    Techniques: Control, Virus, Recombinant, Enzyme-linked Immunosorbent Assay, Microarray, Mutagenesis, Software, Marker, Selection, Expressing