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eqtl method  (MathWorks Inc)


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    MathWorks Inc eqtl method
    The work flow. (A) The work flow in this study. (B) The work flow for <t>identifying</t> <t>mutation‐associated</t> differential expression modules using the <t>eQTL</t> method.
    Eqtl Method, supplied by MathWorks 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/eqtl method/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    eqtl method - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Network analysis of aging acceleration reveals systematic properties of 11 types of cancers"

    Article Title: Network analysis of aging acceleration reveals systematic properties of 11 types of cancers

    Journal: FEBS Open Bio

    doi: 10.1002/2211-5463.12679

    The work flow. (A) The work flow in this study. (B) The work flow for identifying mutation‐associated differential expression modules using the eQTL method.
    Figure Legend Snippet: The work flow. (A) The work flow in this study. (B) The work flow for identifying mutation‐associated differential expression modules using the eQTL method.

    Techniques Used: Mutagenesis, Quantitative Proteomics



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    eqtl method  (MathWorks Inc)
    90
    MathWorks Inc eqtl method
    The work flow. (A) The work flow in this study. (B) The work flow for <t>identifying</t> <t>mutation‐associated</t> differential expression modules using the <t>eQTL</t> method.
    Eqtl Method, supplied by MathWorks 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/eqtl method/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    eqtl method - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

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    The work flow. (A) The work flow in this study. (B) The work flow for identifying mutation‐associated differential expression modules using the eQTL method.

    Journal: FEBS Open Bio

    Article Title: Network analysis of aging acceleration reveals systematic properties of 11 types of cancers

    doi: 10.1002/2211-5463.12679

    Figure Lengend Snippet: The work flow. (A) The work flow in this study. (B) The work flow for identifying mutation‐associated differential expression modules using the eQTL method.

    Article Snippet: The eQTL method is introduced in Fig. B: for each mutation, the mutation status was the class label, differential expressions (the sign‐test P ‐value < 0.05, false discovery rate (FDR) < 0.2 and fold change > 2) were candidate features; further, the eQTL method was applied to identify mutation‐associated differential expression modules in the candidate features ( matlab ); the genes were rearranged by the Kruskal–Wallis test and minimum redundancy maximum relevance (mRMR) method ( matlab ); leave‐one‐out cross validation (LOOCV) was performed to determine the size of the differential expression module based on the smallest mean error ( matlab ).

    Techniques: Mutagenesis, Quantitative Proteomics