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Matlab software package

Manufactured by MathWorks
Sourced in United States

MATLAB is a high-performance numerical computing software package that provides a user-friendly programming environment for matrix manipulation, data visualization, and algorithm development. It is designed to facilitate the efficient execution of mathematical and engineering computations.

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6 protocols using matlab software package

1

Facial EMG Signal Processing for Emotion Classification

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As shown in Fig 3, raw facial EMG signals were filtered offline by a 20–250 Hz band-pass Butterworth filter (order = 4) to exclude motion-related components, and an adaptive filter was applied to remove the 50 Hz power line interference [46 ]. In order to classify the stimulated affective statesusing facial EMG, further processing methods including the empirical mode decomposition (EMD) technique and the Hilbert Spectrum (HS) were employed. Data from single (corrugator or zygomaticus) and combined (corrugator and zygomaticus) site(s) were submitted to classification. All the processing, analyses, and machine learning were conducted using the MATLAB software package (version R2009a and R2015a, Mathworks Inc., Natick, MA, USA).
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2

Neuropathological Profiling of Mouse Brains

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Mice were deeply anesthetized and transcardially perfused with phosphate-buffered saline (PBS). Brains were drop fixed for 48 h at 4 C in 4% paraformaldehyde (PFA) in PBS. After being cryoprotected and frozen, up to 40 brains were embedded per block in a solid matrix and sectioned coronally at 30 mm (MultiBrain processing by NeuroScience Associates, Knoxville, TN, USA) before being mounted onto slides. All brain sections were stained for AT8, GFAP, Iba1, CD68 and NeuN at NSA using established protocols.
Histological analysis of hippocampus 2 in x 3 in brain array slides were digitally scanned using a Leica SCN400 whole slide scanner (Buffalo Grove, IL). Quantitative image analysis was performed with the MATLAB software package (MathWorks, Natick, MA). For the 5-month time-point, immunolabeled or histochemical stained areas were quantified on 10 serial sections of entire brain hemi-sections for each marker. For the 11-month time-point, regions of interest were manually drawn to restrict the analysis to the hippocampus and analyses were performed on 4-7 serial sections of hippocampus per marker. Quantitative analyses measured the area of immunolabeling of histochemical staining and normalized this area to the total analysis area. The percent of marker area was averaged across serial sections and regions of interest, and reported as an average percent labeled area.
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3

Immunohistochemistry for Apoptosis and Necroptosis

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Formalin-fixed paraffin-embedded tissue sections were labeled with rabbit anti-cleaved caspase-3 (Asp175) (cat#9661, Cell Signaling Technologies, 0.05 mg/ml), rat anti-Gr-1 (RB6-8C5, BD Biosciences, 10 mg/ml), or rabbit anti-phospho-RIPK3 Thr231, Ser232 (GEN135-35-9, Genentech, 5 mg/ml). Target antigen retrieval (Dako) and ABC Peroxidase Elite (Vector Laboratories) detection with DAB chromogen were used for Gr-1 and F4/80 immunohistochemistry (IHC). IHC for cleaved caspase-3 and p-RIPK3 was performed on the Ventana Discovery XT platform with CC1 standard antigen retrieval (Ventana). Cleaved caspase-3 was detected with the Ventana OmniMap detection system and DAB chromogen (Ventana). The p-RIPK3 signal was amplified with Ventana HQ Amplification and detected with HQ Discovery detection systems and DAB chromogen. For quantitative image analysis, immunolabelled slides were digitally scanned with a Hamamatsu slide scanner. Quantitative image analysis was performed with the MATLAB software package (MathWorks).
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4

Statistical Analysis of Genomic Data

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Statistical analyses were conducted using MATLAB software packages (Mathworks, Natick, MA, United States) and PARTEK Genomics Suite (Partek Inc., St. Lois, MO, United States). All statistical tests were two-sided and p-value < 0.05 was considered statistically significant.
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5

Microarray Analysis of Heart Tissue

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Total RNA was isolated from heart tissues using standard protocols. Sample handling, cDNA synthesis, cRNA labelling and synthesis, hybridization, washing, array (GeneChip® Mouse Genome 430 2.0 Array; Affymetrix Inc, Santa Clara, CA, USA) scanning, and all related quality controls were performed according to the manufacturer's instructions. The open source R/Bioconductor packages 24 were used for processing and analysis of microarray data. Significantly modulated genes were defined as those with absolute fold change (FC) greater than 1.5 and unadjusted p value less than 0.05. Statistical analyses were performed by using ANOVA, SAS 9.2 (SAS Institute, Cary, NC, USA), MATLAB software packages (Mathworks, Natick, MA, USA), and PARTEK Genomics Suite (Partek Inc, St Louis, MO, USA). Microarray data are provided in the Supporting information.
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Statistical Analysis of Mammary Cell Assays

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Significance in expression or mammosphere formation was determined by Student’s t-test. Comparison of categories within a given characteristic was carried out with the χ2 test, if any of the expected frequencies was less than five, the Fisher’s exact test was used. Two-sided P-value of < 0.05 was considered statistically significant. Statistical analyses were performed using MATLAB software packages (Mathworks, Natick, MA, USA), JMP® Pro11, GraphPad Software, Inc and PARTEK Genomics Suite (Partek Inc, St. Lois, MO, USA).
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