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Lung fields in each slice were identified by excluding major hilar bronchi and vessels.
The final regression model was identified by excluding individual variables with a p value >0.05, until all regression coefficients were statistically significant.
Therefore, participants in whom troublesome symptoms were definitely caused by reflux (i.e. heartburn and/or regurgitation) could only be identified by excluding all participants with epigastric symptoms.
Interfering alleles can be identified by excluding suspect alleles from the average and then checking for improvement in the narrowness of the RC distributions.
Similarly, genes more likely unique to TAM were identified by excluding the 2175 differentially expressed EE genes with a P1 t) > 0.9 and |fold change| > 1.4 that were in common with the 2235 differentially expressed TAM genes (P1 t) > 0.999; |fold change| = 1.5) to identify 60 genes more likely unique to TAM (Additional file 5).
From here, novel lncRNAs can be identified by excluding protein-coding transcripts and annotated lncRNAs based on the databases of RefSeq, ENCODE, and FANTOM (Functional Annotation of the Mammalian Genome) [ 42], as well as the two databases of experimentally verified lncRNAs generated by the Mattick lab: lncRNAdb [ 43] and NRED (Noncoding RNA Expression Database) [ 44].
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Phylum-level taxonomic information was used to filter identified sites by excluding all sites not associated with protein-coding genes assigned to the Firmicutes or the Actinobacteria.
These differences may also help to identify fossils, by excluding from consideration organisms whose body parts do not match the combination of types of preservation found in a particular fossil bed.
Further variables for inclusion in the model were identified by factor analysis excluding multicollinear parameters (1: retained diabetes, excluded occupation; 2: retained literacy, excluded education, smoking; 3: retained wealth, excluded living condition, ethnicity).
One author (KA) initially assessed the titles identified by the search, excluding those obviously irrelevant to the diagnosis of malaria using RDTs.
Of these, 382 events (59%) and 791 cases (27%) were identified by SENSOR-Pesticides (excluding 60 events and 171 cases also identified by PISP), and 261 events (41%) and 2,154 cases (73%) were identified by PISP.
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