Since the success of a predictive model is determined by its verification, we tested our model using several independent datasets collected from multiple countries (Fig. 6).
However, the GEM dataset was collected from multiple different institutions, and thus it is possible that different criteria were used to define DFS at different institutions, which may weaken the DFS analyses in this meta-dataset.
In this research, we have used two datasets, one was trained dataset collected from Web sites www.diacom.com and the other was test dataset.
The integrated database and analysis platform contains datasets that are collected from multiple public databases and interpreted in three main data tables: Protein-, Peptide- and Epitope list views that are cross connected by unique identifiers (IDs).
The integrated database and analysis platform contains datasets that are collected from multiple public databases (UniprotKB, IEDB, NCBI GenBank), manually curated and annotated, and interpreted in three main data tables: Protein-, Peptide- and Epitope list views that are cross-connected by unique identifications.
After detailing the HABC model, the summary statistics and the HABC implementation, we test these two biogeographic hypotheses given two comparative phylogeographic datasets: mtDNA CO1 data collected from multiple cowrie gastropod species that are endemic to the Hawaiian and Marquesan archipelagos.
Previously developed methods of analyzing co-expression patterns across species have relied on producing matched datasets, in which comparable timepoints were collected from multiple species exposed to the same conditions [ 24].
