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web based dagitty platform  (Radboud University)

 
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    Radboud University web based dagitty platform
    Web Based Dagitty Platform, supplied by Radboud University, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/web-based+platform/0+3+dagitty+version/pmc12907495-85-26-12
    Average 86 stars, based on 1 article reviews
    web based dagitty platform - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    Construct:

    Article Title: Parental Attitudes and Hesitancy Towards Childhood Influenza Vaccination in Slovakia: A Cross-Sectional Survey of 301 Parents.
    Article Snippet: .. To visualize hypothesized causal pathways and distinguish between confounders (e.g., education) and mediators (e.g., trust, fear), a Directed Acyclic Graph (DAG) was constructed using the DAGitty software (v3.1, Johannes Textor, Radboud University, Nijmegen, The Netherlands) logic to distinguish between confounders and mediators. ..

    Article Title: Critical Events in Anaesthetised Kids Undergoing Tracheal Intubation (CRICKET)—study protocol for an international multicentre prospective observational study
    Article Snippet: .. We will construct the DAG using the R package [CRAN (open source), Radboud University & Medical BioSciences, Nijmegen, The Netherlands (Textor)] dagitty , based on the web-based DAGitty platform. ..

    Article Title: Association between maternal dietary isoflavone consumption during pregnancy and childhood food allergy in offspring: The Japan Environment and Children's study
    Article Snippet: .. Based on existing studies on the risk factors for FA, , directed acyclic graphs were constructed to identify the corresponding covariates using the online software DAGitty version 3.1, which was created and managed by Johannes Textor (Institute for Computing and Information Sciences, Radboud University, and Medical BioSciences Department, Radboudumc, Nijmegen, the Netherlands). ..

    Software:

    Article Title: Parental Attitudes and Hesitancy Towards Childhood Influenza Vaccination in Slovakia: A Cross-Sectional Survey of 301 Parents.
    Article Snippet: .. To visualize hypothesized causal pathways and distinguish between confounders (e.g., education) and mediators (e.g., trust, fear), a Directed Acyclic Graph (DAG) was constructed using the DAGitty software (v3.1, Johannes Textor, Radboud University, Nijmegen, The Netherlands) logic to distinguish between confounders and mediators. ..

    Article Title: Health Equity Analysis of Awareness and Use of GetCheckedOnline, British Columbia’s Digital Intervention for Sexually Transmitted and Blood-Borne Infection Testing in 5 Urban, Suburban, and Rural Communities: Cross-Sectional Survey Study
    Article Snippet: .. We used the DAGitty software (Johannes Textor, Institute for Computing and Information Sciences, Radboud University) to identify the minimal sufficient adjustment set for each of our exposures of interest [ ]. ..

    Article Title: Quantifying the exposure-response relationship between temperature exposure and semen quality
    Article Snippet: .. Utilizing DAGitty v3.1 software (Johannes Textor Institutional Affiliation (v3.1 era), Data Science group, Radboud University, Nijmegen, Netherlands) ( http://www.dagitty.net ), we created a directed acyclic graph (DAG) to illustrate their interrelationships visually ( ) ( ). ..

    Article Title: Association between maternal dietary isoflavone consumption during pregnancy and childhood food allergy in offspring: The Japan Environment and Children's study
    Article Snippet: .. Based on existing studies on the risk factors for FA, , directed acyclic graphs were constructed to identify the corresponding covariates using the online software DAGitty version 3.1, which was created and managed by Johannes Textor (Institute for Computing and Information Sciences, Radboud University, and Medical BioSciences Department, Radboudumc, Nijmegen, the Netherlands). ..

    Article Title: Adherence to Australian infant food allergen introduction guidelines: Factors influencing infant feeding practices.
    Article Snippet: .. Demographic and allergy risk characteristics were adjusted for some or all of the following potential 161 confounders, as guided a priori using directed acyclic graphs (see Figures e3-e8 in the supplement) using 162 DAGitty software (Radboud University Medical Centre, Netherlands, version 3.0) (33): parents country of birth, 163 socio-economic status (SES), sex, parent food allergy, sibling food allergy, siblings (none, one, two or more). .. 164 All analyses were performed using Stata version 18.0 (StataCorp, College Station, TX).

    other:

    Article Title: Association between prenatal exposure to residential pyrethroid insecticides and congenital hypothyroidism using propensity score matching
    Article Snippet: This identification was facilitated through a review of existing literature and prior knowledge, alongside the construction of Directed Acyclic Graphs (DAGs) , using DAGitty version 3.0 (Radboud University Nijmegen & University of Lübeck, Germany) (Fig. ).

    Article Title: Association between prenatal exposure to residential pyrethroid insecticides and congenital hypothyroidism using propensity score matching.
    Article Snippet: This identification was facilitated through a review of existing literature and prior knowledge, alongside the construction of Directed Acyclic Graphs (DAGs) [21], using DAGitty version 3.0 (Radboud University Nijmegen & University of Lübeck, Germany) (Figure 1).



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    Image Search Results


    a , Schematic of the CRISPR–Cas9 knockout strategy targeting slc45a2 , designed to induce a visible pigmentation-loss phenotype for screening. Representative brightfield images of 6 and 21 dpf WT and cr slc45a2 zebrafish show loss of melanin pigmentation in mutants. b , Schematic of CRISPR guide RNA target sites (aa and ab) on the slc45a2 gene with representative Sanger sequencing traces and ICE analysis of indels from 7 dpf larvae injected at the one-cell stage with both guides. c , Indel efficiency rates for each slc45a2 CRISPR target site. d , Schematic of CRISPR guide RNA target sites (aa and ab) on the tgr5 gene with representative Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with tgr5 and slc45a2 guides (latter not shown). e , Indel efficiency rates for each tgr5 CRISPR target site. f , Schematic of the CRISPR target site (ab) on cyp7a1 with corresponding Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with cyp7a1 and slc45a2 guides (latter not shown). g , Indel efficiency rates for the cyp7a1 CRISPR target site. h-k , Biometrics of body length ( h , standard length, SL), muscle width ( i ), liver size ( j ) and adipose tissue size ( k ) in WT cr slc45a2 , WT cr tgr5 and WT cr cyp7a1 zebrafish at 21 dpf. l , Heat map of selected adipogenic, lipolytic, myogenic, proteolytic and inflammatory gene expression profiles in pooled WT, crslc45a2 , crtgr5 and crcyp7a1 zebrafish at 21 dpf, determined by bulk RNA-seq (n = 4 samples of 5 fish per condition). All data are mean ± s.e.m. P values were determined by one-way ANOVA with Tukey’s multiple-comparisons test ( h,i ) and Kruskal–Wallis test with Dunn’s multiple-comparisons post hoc adjustment ( j,k ). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

    Journal: bioRxiv

    Article Title: YAP disrupts bile acid homeostasis to drive cancer-associated cachexia

    doi: 10.64898/2026.02.01.702698

    Figure Lengend Snippet: a , Schematic of the CRISPR–Cas9 knockout strategy targeting slc45a2 , designed to induce a visible pigmentation-loss phenotype for screening. Representative brightfield images of 6 and 21 dpf WT and cr slc45a2 zebrafish show loss of melanin pigmentation in mutants. b , Schematic of CRISPR guide RNA target sites (aa and ab) on the slc45a2 gene with representative Sanger sequencing traces and ICE analysis of indels from 7 dpf larvae injected at the one-cell stage with both guides. c , Indel efficiency rates for each slc45a2 CRISPR target site. d , Schematic of CRISPR guide RNA target sites (aa and ab) on the tgr5 gene with representative Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with tgr5 and slc45a2 guides (latter not shown). e , Indel efficiency rates for each tgr5 CRISPR target site. f , Schematic of the CRISPR target site (ab) on cyp7a1 with corresponding Sanger sequencing traces and ICE analysis from 7 dpf larvae co-injected at the one-cell stage with cyp7a1 and slc45a2 guides (latter not shown). g , Indel efficiency rates for the cyp7a1 CRISPR target site. h-k , Biometrics of body length ( h , standard length, SL), muscle width ( i ), liver size ( j ) and adipose tissue size ( k ) in WT cr slc45a2 , WT cr tgr5 and WT cr cyp7a1 zebrafish at 21 dpf. l , Heat map of selected adipogenic, lipolytic, myogenic, proteolytic and inflammatory gene expression profiles in pooled WT, crslc45a2 , crtgr5 and crcyp7a1 zebrafish at 21 dpf, determined by bulk RNA-seq (n = 4 samples of 5 fish per condition). All data are mean ± s.e.m. P values were determined by one-way ANOVA with Tukey’s multiple-comparisons test ( h,i ) and Kruskal–Wallis test with Dunn’s multiple-comparisons post hoc adjustment ( j,k ). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

    Article Snippet: Indels in the sequenced data were analysed using the Inference of CRISPR Edits (ICE) web-based platform (Synthego).

    Techniques: CRISPR, Knock-Out, Sequencing, Injection, Gene Expression, RNA Sequencing