Small changes in network weights and structure do in most cases change the system phase space – and resulting development – unpredictably; sometimes to a great extent, sometimes not at all [18].
A similar concept has been proposed to account for the biological effects of microRNAs, which in most cases change mRNA and protein levels of dozens or hundreds of targets by no more than 10 20% (Baek et al, 2008).
But in most cases, change is completely irrelevant.
Moreover, in most cases, change of system parameters and prompt of the alarm system can not necessarily tell us directly what types the fault belongs to or where it lies in.
In most cases changes in the FRET ratio measured upon addition of glucose could be fitted to a single exponential.
In most cases, changes in transcription rates and mRNA stabilities are homodirectional for both parameters, although some interesting cases of antagonist behavior are found.
In most cases, changes in family relationships can lie behind disruptive behaviour and may result in psychosomatic symptoms.
In most cases change is expressed as the mean difference (standard deviation) between values obtained after and before therapy.
Cellular mRNA levels are immensely informative about cell state and the activity of genes, and in most cases, changes in mRNA abundance are positively correlated with changes in protein abundance.
In most cases, changes in the alternative splicing of genes lead to a decrease in the levels of basic transcripts and are likely to increase the levels of alternative transcripts.
