2021
DOI: 10.1007/978-3-030-68007-7_4
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Understanding the Role of (Advanced) Machine Learning in Metagenomic Workflows

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Cited by 4 publications
(7 citation statements)
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“…As with the analysis phase, visualizations are also heavily dependent on the study goals. Note that "Interaction & Perception" was originally named "Visualization" in [24] but was changed to match the AI2VIS4BigData reference model established by Reis et al [28] and to better describe the possible interactive nature of result presentation.…”
Section: Discussionmentioning
confidence: 99%
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“…As with the analysis phase, visualizations are also heavily dependent on the study goals. Note that "Interaction & Perception" was originally named "Visualization" in [24] but was changed to match the AI2VIS4BigData reference model established by Reis et al [28] and to better describe the possible interactive nature of result presentation.…”
Section: Discussionmentioning
confidence: 99%
“…Figure 1 shows the typical process for these two approaches as a loose sequence of steps. The diagram was adapted from Krause et al [24] and focuses on bioinformatic processes. Sample preparation steps necessary before sequencing are not included.…”
Section: Structure Of Metagenomic Studiesmentioning
confidence: 99%
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“…A metagenomic sample would consist of a large number of DNA sequence reads of multiple species making it inherently complex to study. Sample preparation including the DNA sequencing, reads assembly, annotation, and analysis of the data can be identified as the key steps in a metagenomic experiment and Machine Learning (ML) models are being used in all the mentioned steps (Krause, et al, 2020). Metagenomic data can be used to infer the microbes' interactions with their host environments, and thereby are considered in microbiome biomarker discovery for disease diagnosis and monitoring.…”
Section: Use Of Interpretable Models In Microbial Data Including Vira...mentioning
confidence: 99%