Testing MA-sensitive laboratory prototype of biosensor on the real samples of sea fish using the multiple standard addition method has been done.
A chemical analysis of MA, based on the use of lactose in alkaline solution [ 6], was performed using the multiple standard addition method.
Ideally, multiple (>10) females for each species were caught at each site of origin, which were subsequently kept in our laboratories in Zurich and/or Singapore for multiple generations using standard methods (e.g., Puniamoorthy et al. 2012), either in large population containers or in smaller containers as iso-female lines (i.e., offspring of one field-caught female).
For the purpose of comparison with the average property level classifier, performance of the combined single grammars, obtained in 4‐fold CV, was recalculated as in the case of comparison with multiple grammar classifiers and standard methods.
Results from simulations and the application to biodiversity research show how standard methods for multiple group comparison may fail under biologically realistic scenarios of heteroscedasticity and unbalanced groups, whereas the here presented method appears to be appropriate for such scenarios even in the situation of non-normal data.
Strains carrying multiple mutations were generated by standard methods and confirmed by polymerase chain reaction (PCR) and/or sequencing.
Joint analysis of data generated from multiple phases was conducted using standard methods for combining raw data based on the Mantel–Haenszel method in STATA and in PLINK.
All analyses from multiple imputed data were combined using standard methods [27, 29].
The data sets were corrected for absorption based on multiple scans [11] and reduced using standard methods [12].
As the tSNPs are correlated, the test statistics are not independent, and standard methods for adjusting for multiple testing, such as the Bonferroni correction, are too conservative.
