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Briefly, two types of feature selection approaches were used: filter and wrapper methods.
This research used filter SLAM, which is an RBPFs because of limited processing power.
One of the release criteria is the integrity of the used filter.
The paper describes the characteristics of the provided datasets and the used filter approaches.
The used filter contained sorted sand (0.7 1.2 mm) and synthetic zeolite (<0.8 mm) with mixing ratio of 1 1.
In contrast to our method, Boumahdi et al. (1999) used filter suction and a much higher concentration of cells.
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Wang et al. [28] present the ensemble of six commonly used filter-based rankers whereas Optiz [21] studies the ensemble feature selection for neural networks called genetic ensemble feature selection.
We show via simulations that the proposed approach can be used in conjunction with the existing filter-based methods to achieve a substantially better ranking of a gene relevant for disease when compared to currently used filter-based approaches, this is especially so in the presence of disease locus heterogeneity.
Therefore, we used filtering equation as follows.
We used filter-sterilized tap water without antibiotics in all other treatments.
Gene and variant lists can be exported to tab-separated value files based on the used filter-settings if needed.
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