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classification and regression tree analysis cart 6.0  (Salford Systems)

 
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    Salford Systems classification and regression tree analysis cart 6.0
    Classification And Regression Tree Analysis Cart 6.0, supplied by Salford Systems, 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/classification+and+regression+tree+analysis+cart+6%2E0/pmc06955366__pnas__1906593116__sapp-58-2-19?v=Salford+Systems
    Average 90 stars, based on 1 article reviews
    classification and regression tree analysis cart 6.0 - by Bioz Stars, 2026-07
    90/100 stars

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    Salford Systems classification and regression tree analysis cart v.6.0
    Cartesian and regression tree analysis <t>(CART)</t> showing an interaction between the tumour necrosis factor ligand superfamily member 4 gene ( TNFSF4 ) single nucleotide <t>polymorphisms</t> <t>(SNPs)</t> rs2205960 and rs944648 in systemic sclerosis (SSc). Red test result denotes SSc susceptibility factors.
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    Cartesian and regression tree analysis (CART) showing an interaction between the tumour necrosis factor ligand superfamily member 4 gene ( TNFSF4 ) single nucleotide polymorphisms (SNPs) rs2205960 and rs944648 in systemic sclerosis (SSc). Red test result denotes SSc susceptibility factors.

    Journal: Annals of the Rheumatic Diseases

    Article Title: Association of TNFSF4 (OX40L) polymorphisms with susceptibility to systemic sclerosis

    doi: 10.1136/ard.2009.116434

    Figure Lengend Snippet: Cartesian and regression tree analysis (CART) showing an interaction between the tumour necrosis factor ligand superfamily member 4 gene ( TNFSF4 ) single nucleotide polymorphisms (SNPs) rs2205960 and rs944648 in systemic sclerosis (SSc). Red test result denotes SSc susceptibility factors.

    Article Snippet: Classification and regression tree (CART) analysis was performed to explore interactions between SNPs (CART V.6.0; Salford Systems, San Diego, California, USA) using gender and SNPs of TNFSF4 as nominal categorical variables to predict the outcome of SSc.

    Techniques: