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Recently, biological variance has gained interest within the postharvest community.
Data generated in postharvest research are characterised by an inherent large amount of biological variance.
The biological variance in protein expression of interest to biologists can only be accessed if the technical variance of the protein quantification method is low compared with the biological variance.
To analyse experimental data taking into account biological variance several (statistical) modelling techniques have been applied by different authors.
To be able to manage the postharvest chain, clear insight is required in the propagation of biological variance during postharvest.
Sobering these thoughts a bit was EverlyWell's Chief Medical Officer, Dr. Marra Francis MD, who explained to me that the body has a daily fluctuation of testosterone production between 5-125-12percentd minornor dip fell within that biological variance, rendering it insignificant.
Sobering these thoughts a bit was EverlyWell's chief medical officer, Dr. Marra Francis, MD, who explained to me that the body has a daily fluctuation of testosterone production between 5 12 percent and my minor dip fell within that biological variance, rendering it insignificant.
By pooling samples, biological variance (e.g. tumor heterogeneity or true normal individual variance) could not be measured.
In this way we obtain evidence that the biological variance is well-detected, thereby arriving at an objective SE assessment.
Furthermore, the prominence of biological variance increases with transcript expression level.
The percentage of apoptotic cells varies between the experiments due to biological variance.
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