ADEMA: An Algorithm to Determine Expected Metabolite Level Alterations Using Mutual Information by A. Ercument Cicek (101989)

“…However, current methods of comprehensive analyses of large metabolic datasets (metabolomics) are limited, unlike other “omics” approaches where complex techniques for analyzing coexpression/coregulation of multiple variables are applied. This paper discusses the shortcomings of current metabolomics data analysis techniques, and proposes a new multivariate technique (ADEMA) based on mutual information to identify expected metabolite level changes with respect to a specific condition. …”

Results of the olden algorithm: Importance level of factors. by Amila Jayasinghe (14573493)

Level Datasets–Contains detailed information about list of protein used to validate accuracy of SiteMotif across multiple levels of diverse scenarios (see Box 1). by Santhosh Sankar (9764690)

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Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Vehicle and depot information. by Wu Kai (20614663)

Decreasing time algorithm sequence. by Mohammad Mahmood Otoom (17935488)

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Fast Nonseparable Gaussian Stochastic Process With Application to Methylation Level Interpolation by Mengyang Gu (7371956)

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Algorithm stages for the clustering phase. by Julien Roche (611898)

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The comparison with machine learning algorithms. by Jiyun Yang (45626)

Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Pseudocode of the RPath algorithm. by Daniel Domingo-Fernández (5432273)

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Driver prediction algorithms. by Alexey D. Vyatkin (11949770)

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Overview results of all proposed algorithms. by Mohammad Mahmood Otoom (17935488)

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Confusion Matrix for the Hybrid algorithms. by Faten Al-hussein (20707521)

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The algorithm of section classifiers. by Sungrim Moon (5600456)

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Methodologic information. by Arjun K. Reddy (12236198)

“…The outcomes and characteristics extracted from each study includes, first author, search date, publication journal and date, number of studies included, databases, level of evidence, software used, subgroup analyses that were conducted, and heterogeneity with the use of I² statistics Methodological quality information was extracted from each study using four different methodologic scores (Oxford Levels of Evidence; Assessment of Multiple Systematic Reviews (AMSTAR); Quality of reporting of meta-analyses (QUROM); Oxman and Guyatt. …”

Schematic representation of the RPath algorithm. by Daniel Domingo-Fernández (5432273)

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An overview of the result from the literature on the developed algorithms. by Mohammad Mahmood Otoom (17935488)

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Benchmarking of driver prediction algorithms. by Alexey D. Vyatkin (11949770)

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Benchmarking of driver prediction algorithms. by Alexey D. Vyatkin (11949770)

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