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extended constrained non-negative matrix factorization (cnmf-e)  (MathWorks Inc)


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    MathWorks Inc extended constrained non-negative matrix factorization (cnmf-e)
    Extended Constrained Non Negative Matrix Factorization (Cnmf E), 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/non-negative+matrix+factorization/pm40595505-596-12-18
    Average 90 stars, based on 1 article reviews
    extended constrained non-negative matrix factorization (cnmf-e) - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Atypical cortical networks in children at high-genetic risk of psychiatric and neurodevelopmental disorders.
    Article Snippet: In order to reduce the dimensionality of these features before statistical analyses, we used a data-driven analysis of the principal components using non-negative matrix factorization (NNMF, Matlab: nnmf).

    Article Title: Ion complexation waves emerge at the curved interfaces of layered minerals
    Article Snippet: Non-negative matrix factorization (NNMF) implemented in Matlab was used to establish two absorbance profile factors across all profiles in a given layer.

    Article Title: MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings.
    Article Snippet: Dimensionality reduction Non-negative matrix factorization (NMF) was performed on the spike train data down-sampled to 10 Hz using the built-in MATLAB function.

    Article Title: Non-Negative Matrix Factorization for Learning Alignment-Specific Models of Protein Evolution
    Article Snippet: The non-negative matrix factorization was performed in Matlab.

    Article Title: Differential transcriptional response profiles in human myeloid cell populations.
    Article Snippet: 18 This study examines the transcriptional profiles of human adult brain-derived microglia in 19 response to in vitro activating conditions previously used to polarize systemic myeloid cells into 20 M1 and M2 phenotypes.. A comparative study is done with monocyte-derived macrophages 21 (MDMs), a myeloid cell type that also participates in disease relevant tissue injury and repair 22 processes in the CNS.. Current markers used to distinguish microglia and MDMs have been 23 defined under homeostatic conditions.

    Article Title: Neuromuscular mechanisms of motor adaptation to repeated gait-slip perturbations in older adults
    Article Snippet: Muscle synergies were extracted from EMG matrices with unit variance for each condition (novel, early-, and late-adaptation) by non-negative matrix factorization using customized Matlab routines , which is a decomposition algorithm used extensively in muscle synergy analysis , , .

    Article Title: Using DNA methylation profiling to evaluate biological age and longevity interventions
    Article Snippet: The non-negative matrix factorization was performed in MATLAB using nnmf command.

    Article Title: Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer
    Article Snippet: For each of the 10 tumors, non-negative matrix factorization (as implemented by the Matlab nnmf function, with the number of factors set to 10) was used to identify variable expression programs.



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    Image Search Results


    ( a ) Surgical paradigm. In a TetO-GCaMP6s × CaMKII-tTa mouse, 9 AAV retro viruses are injected into downstream brain regions and gradient-index (GRIN) lens implanted into the target region. ( b ) Simultaneous recording of GCaMP6s (top) and behavior (bottom) during a social memory task. Scale bar = 100 µm ( c ) GCaMP6s recordings are processed. Constrained non-negative matrix factorization (CNMF)-defined ROIs (top) and ΔF/F traces (bottom) are exported. Scale bar = 100 µm. ( d ) Mice are head fixed and FOV under the GRIN lens imaged using the multiplexed lambda method. ( e ) Transformations are determined using anatomical background images to co-register the two imaging platforms. The transformations are applied to CNMF-defined ROIs. Scale bar = 100 µm. ( f ) Multispectral data are collected for each ROI (top) and an average spectral fingerprint for all ROIs is generated (bottom). Mean ±1.5 SD. Scale bar = 100 µm. ( g ) A linear unmixing model is applied to determine the fluorophore contribution for each ROI. Scale bar = 100 µm. ( i ) Neural activity is sorted by cell type. Scale bars = 20 ΔF/F (vertical), 20 s (horizontal).

    Journal: eLife

    Article Title: Functional imaging of nine distinct neuronal populations under a miniscope in freely behaving animals

    doi: 10.7554/eLife.110277

    Figure Lengend Snippet: ( a ) Surgical paradigm. In a TetO-GCaMP6s × CaMKII-tTa mouse, 9 AAV retro viruses are injected into downstream brain regions and gradient-index (GRIN) lens implanted into the target region. ( b ) Simultaneous recording of GCaMP6s (top) and behavior (bottom) during a social memory task. Scale bar = 100 µm ( c ) GCaMP6s recordings are processed. Constrained non-negative matrix factorization (CNMF)-defined ROIs (top) and ΔF/F traces (bottom) are exported. Scale bar = 100 µm. ( d ) Mice are head fixed and FOV under the GRIN lens imaged using the multiplexed lambda method. ( e ) Transformations are determined using anatomical background images to co-register the two imaging platforms. The transformations are applied to CNMF-defined ROIs. Scale bar = 100 µm. ( f ) Multispectral data are collected for each ROI (top) and an average spectral fingerprint for all ROIs is generated (bottom). Mean ±1.5 SD. Scale bar = 100 µm. ( g ) A linear unmixing model is applied to determine the fluorophore contribution for each ROI. Scale bar = 100 µm. ( i ) Neural activity is sorted by cell type. Scale bars = 20 ΔF/F (vertical), 20 s (horizontal).

    Article Snippet: We extracted spatial and temporal components of neuronal activity from miniscope videos using constrained non-negative matrix factorization for endoscopic data (CNMF-E) implemented through the Inscopix Data Processing Software.

    Techniques: Injection, Imaging, Generated, Activity Assay