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maximum entropy deconvolution software  (Bruker Corporation)


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    Bruker Corporation maximum entropy deconvolution software
    Maximum Entropy Deconvolution Software, supplied by Bruker Corporation, 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/maximum+entropy/maximum+entropy+deconvolution+algorithm/pm40499387-69-1-0
    Average 90 stars, based on 1 article reviews
    maximum entropy deconvolution software - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: The Dual Role of Lipids of the Lipoproteins in Trumenba, a Self-Adjuvanting Vaccine Against Meningococcal Meningitis B Disease.
    Article Snippet: The samples were analyzed by injecting approximately 6 μg onto a Waters BEH C4 column (2.1 × 100 mm, 1.7 μm) at a temperature of 60°C and eluted at a flow rate of 0.2 mL/min with a gradient from 20% to 90% of mobile phase B (0.1% TFA in acetonitrile); mobile phase Awas 0.1% TFA in water.

    Article Title: Tyrosine Sulfation at Antibody Light Chain CDR-1 Increases Binding Affinity and Neutralization Potency to Interleukine-4
    Article Snippet: The QTOF–MS signal was deconvoluted using Maximum Entropy in Compass Data Analysis v 4.4 (Bruker, Billerica, MA, USA).

    Article Title: Tyrosine Sulfation at Antibody Light Chain CDR-1 Increases Binding Affinity and Neutralization Potency to Interleukine-4.
    Article Snippet: The QTOF–MS signal was deconvoluted using Maximum Entropy in Compass Data Analysis v 4.4 (Bruker, Billerica, MA, USA).

    Article Title: Impacts of fast production of afucosylated antibodies and Fc mutants in ExpiCHO-S™ for enhancing FcγRIIIa binding and NK cell activation.
    Article Snippet: The QTOF-MS signal was deconvoluted using Maximum Entropy in Compass Data Analysis v 4.4 (Bruker).



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    Overview of each module’s analyses, including relevant references and the corresponding R packages used.

    Journal: PeerJ

    Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package

    doi: 10.7717/peerj.19136

    Figure Lengend Snippet: Overview of each module’s analyses, including relevant references and the corresponding R packages used.

    Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and maximum entropy (MAXENT) using the MIAmaxent ( ) R package MAXNET and extreme gradient boosting (XGBOOST) ( ).

    Techniques: Sampling, Generated, Functional Assay

    Comparison of analyses performed by different software packages for ecological niche modeling.

    Journal: PeerJ

    Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package

    doi: 10.7717/peerj.19136

    Figure Lengend Snippet: Comparison of analyses performed by different software packages for ecological niche modeling.

    Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and maximum entropy (MAXENT) using the MIAmaxent ( ) R package MAXNET and extreme gradient boosting (XGBOOST) ( ).

    Techniques: Comparison, Software, Selection, Generated, Sampling