All experiments were carried out in at least triplicate and are represented as mean ± standard deviation. Statistical analysis was conducted by SPSS software (SPSS 20.0; IBM SPSS Statistics, Chicago, IL, USA) and MATLAB software (MATLAB R2012a, Natick, MA, USA). Differences were considered statistically significant (p < 0.05) using the one-way analysis of variance (ANOVA) with Duncan’s test.
Matlab software
Manufactured by IBM
Sourced in United States
MATLAB is a high-level programming language and numerical computing environment used for data analysis, algorithm development, and visualization. It provides a wide range of mathematical, engineering, and scientific functions for various applications.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using matlab software
1
Statistical Analysis of Experimental Protocols
2
Statistical Analysis of Categorical and Continuous Variables
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Comparison of categorical characteristics between groups was performed with the chi-square test or Fisher's exact test and comparison of continuous characteristics with Student's t-test. Receiver operating characteristic (ROC) curves were generated on the basis of the classification results of random forest models. Results with P values less than 0.05 were considered to indicate a significant difference. All the statistical analyses were performed using the Matlab software and IBM SPSS Statistics software (version 21; SPSS, Chicago, Ill, USA).
3
Optimized Multivariate Experimentation
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Every experiment was conducted in triplicates and the mean values and standard error values were calculated. IBM MATLAB software was used for RSM study design. ANN model was performed using the JAVA program.
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