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Trans Proteomic Pipeline software 4.0 (Systems Biology, WA) was utilized to identify proteins based on corresponding peptide sequences with ≥95% confidence.
Secondary ion mass spectrometry (SIMS) was utilized to identify the elemental distribution.
The statistical Gamma test was utilized to identify the most influential soil parameters on BD.
The 3D-motif analysis was utilized to identify the significant features.
An orthogonal array design was utilized to identify the optimum experimental conditions.
Univariate logistic regression analysis was utilized to identify the predictor variables of abnormal cranial CT and MRI findings.
Then the 'snowball sampling method' - also known as the chain referral sampling - was utilized to identify study participants.
A snowball sampling technique was utilized to identify the individuals, which is preferable for exploratory study (Gregor & Klein 2014).
PCR technique was utilized to identify the 3 bacterial strains and to detect the adhesin gene "cna".
An immunoinformatics approach was utilized to identify linear and discontinuous epitopes for the lectin domain of FimH.
A robust compositional factor analysis (CoDa-FA) was utilized to identify the ensembles of elements related to mineralization.
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