Dimensionality of noise free datasets. by Ege Altan (11768156)

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Dimensionality of noise free datasets with unequal variance. by Ege Altan (11768156)

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Amount of data required by dimensionality estimators. by Ege Altan (11768156)

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Effect of noise on dimensionality estimates. by Ege Altan (11768156)

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Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings. by Ege Altan (11768156)

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Effect of increasing true dimensionality on dimensionality estimates. by Ege Altan (11768156)

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Effect of changing the degree of nonlinearity. by Ege Altan (11768156)

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Algorithm parameter levels. by Peng Yao (448155)

“…The experimental session designs several scale instances according to the reality of the port, carries out simulation experiments comparing several groups of intelligent algorithms, verifies the effectiveness of IGWO, and verifies it in the comprehensive port area of Huanghua Port to get the optimal scheduling scheme of this port area, and finally gives management suggestions to reduce the cost of tugboat operation through sensitivity analysis.…”

A graphic overview illustrates the random walk and permutation test in the <i>ceRNApairFiltering</i> method. by Yi-Wen Hsiao (13767916)

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A graphic overview illustrates sorting and correlation calculation in the <i>ceRNApairFiltering</i> method. by Yi-Wen Hsiao (13767916)

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Run time comparisons between published tools and our package. by Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9. by Yi-Wen Hsiao (13767916)

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Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case. by Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

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Performance of the ceRNAR package with different proportions of correlated samples in scenario III under the fast version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

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The meanings of score S are based on the values of P_obey and P_violate. by Yi-Wen Hsiao (13767916)

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The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version. by Yi-Wen Hsiao (13767916)

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Main tabular output in CSV format. by Yi-Wen Hsiao (13767916)

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Performance of our proposed method in four scenarios (1 to 4). by Yi-Wen Hsiao (13767916)

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Performance of our proposed method in four scenarios (I to IV) using naïve simulated data with the complete version. by Yi-Wen Hsiao (13767916)

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