Review



derivative profiling omics package (dpop)  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc derivative profiling omics package (dpop)
    Flowchart of <t>derivative</t> profiling workflow. Data is input in the first block labeled <t>“organized-omics</t> data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis
    Derivative Profiling Omics Package (Dpop), 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/derivative profiling omics package (dpop)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    derivative profiling omics package (dpop) - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoP"

    Article Title: Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoP

    Journal: BMC Bioinformatics

    doi: 10.1186/s12859-024-05938-9

    Flowchart of derivative profiling workflow. Data is input in the first block labeled “organized-omics data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis
    Figure Legend Snippet: Flowchart of derivative profiling workflow. Data is input in the first block labeled “organized-omics data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis

    Techniques Used: Blocking Assay, Labeling



    Similar Products

    derivative profiling omics package (dpop)  (MathWorks Inc)
    90
    MathWorks Inc derivative profiling omics package (dpop)
    Flowchart of <t>derivative</t> profiling workflow. Data is input in the first block labeled <t>“organized-omics</t> data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis
    Derivative Profiling Omics Package (Dpop), 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/derivative profiling omics package (dpop)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    derivative profiling omics package (dpop) - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    dpop, or derivative profiling omics package  (MathWorks Inc)
    90
    MathWorks Inc dpop, or derivative profiling omics package
    Flowchart of <t>derivative</t> profiling workflow. Data is input in the first block labeled <t>“organized-omics</t> data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis
    Dpop, Or Derivative Profiling Omics Package, 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/dpop, or derivative profiling omics package/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    dpop, or derivative profiling omics package - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Flowchart of derivative profiling workflow. Data is input in the first block labeled “organized-omics data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis

    Journal: BMC Bioinformatics

    Article Title: Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoP

    doi: 10.1186/s12859-024-05938-9

    Figure Lengend Snippet: Flowchart of derivative profiling workflow. Data is input in the first block labeled “organized-omics data”. Any arrow is a tunable process operation of the overall workflow. Lists can be output and analyzed independently without bioinformatic analysis

    Article Snippet: This method has been packaged in an open-source, GUI-based MATLAB app, the Derivative Profiling omics Package (DPoP).

    Techniques: Blocking Assay, Labeling