'extent of the complexity' is correct and usable in written English.
You can use it when speaking or writing to refer to the degree or amount of complexity that something has. For example, "I underestimated the extent of the complexity in the project".
In a recent phone interview Mr. Howard said: "The extent of the complexity and drama weren't clear at the beginning.
However, with increasing knowledge from in vitro studies, pathways that once initially seemed distinct have become blurred, revealing the extent of the complexity as to how small RNAs act in gene regulation.
Regarding the proportion of distinct sequences of each size, which might represent the extent of the complexity of the wheat small RNA population, we found that 24 nt signatures were prevalent in all of the libraries, whereas 21 nt signatures were less abundant.
Nonetheless, it is well known that physician behaviour depends to a great extent on the complexity and morbidity of the patient population, which affects variations in the pattern of health care services provided [ 17, 21- 24].
If such an intrinsic feature is in part responsible, to an observable extent, for the complexity of the system, this could result in self-organized, scale-free characteristics.
The extent of that complexity doesn't emerge until the big reveal, which involves Ms. Theron's character and is so surprising that I heard several grown men loudly gasp.
However, time and space constraints can often limit the extent of the size, complexity and detail of the networks that can be simulated.
Further study to model this possible subsequent stage will be important and interesting, particularly to show to what extent of complexity the RNA world may have developed before the advent of DNA and proteins.
Our findings show that var typing as a molecular surveillance system defines the extent of genetic complexity in the reservoir of infection to complement measures of malaria prevalence.
To address this issue, we have uniformly compared the performances of different multivariate statistical methods on recorded and simulated data sets, and assessed to what extent reducing the complexity of the initial encoding space improves the classification task.
The added resolution of RNA-Seq has provided the basis for a transition from classical gene-centric models of kidney development towards more accurate and detailed "transcript-centric" representations, which highlights the extent of transcriptional complexity of genes that direct complex development events.
