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First, we propose an estimation module to predict the performance of Hadoop clusters when executing different big data analytics jobs, which can be used by GAs.
To implement the job scheduling model, we leverage an estimation module to predict the performance of clusters when executing analytics jobs.
Before making this decision, we utilize the performance estimation module to predict the execution time and cost which are the decision indicators in GAs.
First, ACT-R uses only a simple gamma function, identical for every module, to predict the BOLD response in each region.
EDAG contains a group of energy functions for protein design and it has a module to predict the change in binding free energy after a mutation.
To assess PASSion's ability to report junctions from different samples, we applied the multi-sample module to predict the shared and sample specific exon exon junctions for the real RNA-Seq data S1 and S2.
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In order to address these concerns, the Lake Okeechobee Environmental Model (LOEM) and the Everglades Landscape Model (ELM) were adapted with sulfur modules to predict concentrations and distributions of sulfate within Lake Okeechobee and the EPA resulting from the release of ASR water.
Results: We describe DISOPRED3, which extends its predecessor with new modules to predict IDRs and protein-binding sites within them.
In our previous study, we utilised the CMP and CPS bioinformatic modules to predict candidate genes and therapeutic targets [ 14, 20].
In this study, we used PReMod [ 13], a new database of genome-wide cis-regulatory modules, to predict all possible EREs in the genome.
Le et al. [ 60] developed the regression-based model called PIMiM (Protein Interaction-based MicroRNA Modules) to predict miRNA-regulated modules by integrating expression profiles of both miRNAs and genes, sequence-based predictions of miRNA-mRNA interactions and protein-protein interactions data.
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