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envelope function in  (MathWorks Inc)


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    MathWorks Inc envelope function in
    Envelope Function In, 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/product/envelope+function/pmc11696758-109-2-8
    Average 90 stars, based on 1 article reviews
    envelope function in - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Selective activation of cholinergic neurotransmission from the medial septal nucleus to hippocampal pyramidal neurones improves sepsis-induced cognitive deficits in mice.
    Article Snippet: To correct baseline drift caused by photobleaching of fluorophores, we fitted the signal with a polynomial curve (MATLAB ‘polyfit’ function; MathWorks Inc., Natick, MA, USA) and subtracted it from the signal, and the signal was smoothed with a SavitzkyeGolay filter (MATLAB ‘smooth’ function, option ‘sgolay’).

    Article Title: yGPS-P: A Yeast-Based Peptidome Screen for Studying Quality Control-Associated Proteolysis
    Article Snippet: Together, these values can be fitted into a curve (using the cfit function in Matlab) to yield a continuous trending line of stability along the protein (see b).

    Article Title: Experience-driven rate modulation is reinstated during hippocampal replay
    Article Snippet: For each place cell active on both tracks, rate modulation on the track was measured by calculating (1) the difference in peak in- field firing rate across tracks and (2) the difference in the area under the curve (AUC; MATLAB function trapz).

    Article Title: State-dependent olfactory processing in freely behaving mice
    Article Snippet: Additional LFP measures that were analyzed included the area under the curve (MATLAB function: trapz of the absolute value of the LFP) and root-mean-square amplitude (MATLAB function: RMS) of the entire 150-ms stimulation period ( and ).

    Article Title: Reduced resilience of brain state transitions in anti-N-methyl-D-aspartate receptor encephalitis.
    Article Snippet: Between-group comparisons of graph theoretical measures, transition frequencies, ratiosim, and ratiotrans were assessed by comparing the area under the curve (AUC; MATLAB’s trapz) between patients and controls.

    Article Title: A failure envelope approach to characterizing strength of an amputated femur with a bone-anchored percutaneous implant
    Article Snippet: The blue line represents the smooth curve (shape-preserving piecewise cubic interpolation, MATLAB, MathWorks, Natick, USA) fitted to the red dots.

    Article Title: Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles
    Article Snippet: Finally, a curve (using the “envelope” function in Matlab) comprising the averaged values of the upper and lower envelopes that are tangent to those profiles has been subtracted from the reconstructed signals.

    Article Title: Partitioned usage of chromatin remodelers by nucleosome-displacing factors
    Article Snippet: Depending on how ΔNDR changed with length, we either fit with a straight line, or calculated a smoothed curve (MATLAB “smooth” function) as the length dependence baseline (e.g. in ).



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    a Overview of perturbation data with a leave-one-drug-out (LODO) training / test set split. Drug 12 is never used in training. b Causal graphical model for subset of drugs and responses (proteins and phenotypes). Drugs are exogenous variables with known targets, e.g. it is assumed known that drug 12 directly effects protein \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_3$$\end{document} X 3 . Black dashed lines represent hidden confounding. For example unmeasured cell cycle may effect responses \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_{10}$$\end{document} X 10 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_8$$\end{document} X 8

    Journal: BMC Bioinformatics

    Article Title: Causal models and prediction in cell line perturbation experiments

    doi: 10.1186/s12859-024-06027-7

    Figure Lengend Snippet: a Overview of perturbation data with a leave-one-drug-out (LODO) training / test set split. Drug 12 is never used in training. b Causal graphical model for subset of drugs and responses (proteins and phenotypes). Drugs are exogenous variables with known targets, e.g. it is assumed known that drug 12 directly effects protein \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_3$$\end{document} X 3 . Black dashed lines represent hidden confounding. For example unmeasured cell cycle may effect responses \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_{10}$$\end{document} X 10 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$X_8$$\end{document} X 8

    Article Snippet: Cellbox can be fit with several envelope functions \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi$$\end{document} φ including identity, clipped linear, and sigmoid.

    Techniques: