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jmp software suite  (SAS institute)


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    SAS institute jmp software suite
    Jmp Software Suite, supplied by SAS institute, 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/built-in+function+princomp/jmp+software+suite/pmc06411385-63-4-7
    Average 90 stars, based on 1 article reviews
    jmp software suite - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Software:

    Article Title: Effects of Ionic Liquid Alkyl Chain Length on Denaturation of Myoglobin by Anionic, Cationic, and Zwitterionic Detergents
    Article Snippet: OriginLab’s Origin Pro 2019b (Northampton, MA, USA) was utilized to apply the fitting equation to the data. .. Statistical analysis was performed by a one way ANOVA using the JMP software suite (SAS Institute Inc., Cary, NC, USA). ..

    Article Title: Chemometric Approaches for Developing Infrared Nanosensors to Image Anthracyclines
    Article Snippet: .. Analysis was performed using JMP software suite (SAS Institute Inc.) and custom scripts written using MATLAB (R2017b, The Mathworks, Inc.) and its built-in functions for principal component analysis (pca()) and hierarchical clustering (cluster(), linkage()) with default parameters, unless otherwise noted. .. Curve fitting for DOX titration data was performed with the fit() function in MATLAB using a non-linear least squares method.

    Article Title: Molecular electronics sensors on a scalable semiconductor chip: A platform for single-molecule measurement of binding kinetics and enzyme activity
    Article Snippet: .. PCA and K-means clustering analysis done in the JMP software suite (SAS Institute). ..

    Article Title: Concentrations of POPs based wood preservatives in waste timber from demolished buildings and its recycled products in Japan.
    Article Snippet: Contents lists available at ScienceDirect Waste Management journal homepage: www.elsevier .com/locate /wasman Concentrations of POPs based wood preservatives in waste timber from demolished buildings and its recycled products in Japan https://doi.org/10.1016/j.wasman.2018.12.039 0956-053X/ 2019 Elsevier Ltd. All rights reserved.. ⇑ Corresponding author at: Graduate School of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan.. E-mail address: uenod@cc.saga-u.ac.jp (D. Ueno).

    Article Title: Chemometric Approaches for Developing Infrared Nanosensors to Image Anthracyclines
    Article Snippet: .. Analysis was performed using JMP software suite (SAS Institute Inc.) and custom scripts written using MATLAB (R2017b, The Mathworks, Inc.) and its built-in functions for principal component analysis ( pca() ) and hierarchical clustering ( cluster(), linkage() ) with default parameters, unless otherwise noted. .. Curve fitting for DOX titration data was performed with the fit() function in MATLAB using a non-linear least squares method.


    Article Title: Comprehensive target analysis of micropollutants in soil at debris storage sites of the Kumamoto earthquake
    Article Snippet: On April 16, 2016, a series of earthquakes with a maximum magnitude of 7.0 struck Kumamoto Prefecture, Japan, and about 1,300,000 metric tons of land-derived debris (building materials, household appliances, furniture, and wood) required disposal.. Because public lands were used as emergency debris storage sites, environmental contamination by organic micropollutants from the debris has been a public concern.. To identify chemicals of concern in the soil, our research group used a novel scheme in the combination of comprehensive target analysis (CTA) with an automated identification and quantification system (AIQS) that made use of gas chromatography– mass spectrometry (GC-MS).

    other:

    Article Title: Chemometric Approaches for Developing Infrared Nanosensors To Image Anthracyclines.
    Article Snippet: Analysis was performed using JMP 26 software suite (SAS Institute Inc.) and custom scripts written using MATLAB (R2017b, The 27 Mathworks, Inc.) and its built-in functions for principal component analysis (pca()) and 28 hierarchical clustering (cluster(), linkage()) with default parameters, unless otherwise 29 noted.



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    (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab <t>princomp)</t> and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.
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    Image Search Results


    (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab princomp) and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.

    Journal: BioMedical Engineering OnLine

    Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

    doi: 10.1186/1475-925X-11-18

    Figure Lengend Snippet: (a) True positive rate and (b) false positive rate of spike sorting using PCA (Matlab princomp) and stream-based Hebbian eigenfilter . Benchmarks #1 ~ #12 are obtained from.

    Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

    Techniques:

    Evaluation of spike sorting accuracy with varied SNR . Comparisons between PCA (Matlab princomp) and stream-based Hebbian eigenfilter are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Journal: BioMedical Engineering OnLine

    Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

    doi: 10.1186/1475-925X-11-18

    Figure Lengend Snippet: Evaluation of spike sorting accuracy with varied SNR . Comparisons between PCA (Matlab princomp) and stream-based Hebbian eigenfilter are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

    Techniques:

    Evaluation of false positive rate of spike sorting with varied SNR . Comparisons between stream-based Hebbian eigenfilter and PCA (Matlab princomp) are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Journal: BioMedical Engineering OnLine

    Article Title: Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

    doi: 10.1186/1475-925X-11-18

    Figure Lengend Snippet: Evaluation of false positive rate of spike sorting with varied SNR . Comparisons between stream-based Hebbian eigenfilter and PCA (Matlab princomp) are based on (a) 2 neruons (b) 3 neruons (c) 4 neurons cases.

    Article Snippet: Matlab built-in functions, princomp , was used as the conventional PCA routine.

    Techniques: