The phrase "mature methodology" is correct and usable in written English.
You can use it when referring to a strategy or approach that has been proven to be successful in a particular context. For example, "Our company adopted a mature methodology for developing new products, which has resulted in a rapid increase in sales."
Look to the CMO to embrace the mature methodologies that matter, and meld these with what technology and data now make possible.
Powerful genetic tools and mature methodologies such as forward genetic screens, generation of transgenic animals and RNA interference (RNAi) in a tissue-specific fashion have been developed that have greatly facilitated research in C. elegans.
As inventories have matured, methodology increasingly is both influenced and vetted by the international scientific community, a process which ensures rigour and provides documentation for the user community.
Despite the fact that this brought sufficient technology for a mature engineering methodology, little use is made of it in current practice, and developing 'intelligent' software is not much different today from what it was at the beginning of the 1980s.
However, there currently is no mature and specialized methodology to evaluate the accuracy of input output (IO) data.
Even as the methodology matured, there remained a challenge to integrate it into the regulatory process.
System-level design issues are gaining increasing attention, as behavioral synthesis tools and methodologies mature.
As the methodology matured, a general theoretical framework was developed that supports the consistent analysis of 'false-recent' results [ 5].
Finally, flexible feature-based classifiers that can use any number of features can combine features from different software packages and therefore leverage newly discovered discriminative features to continually improve somatic mutation prediction accuracy as the bioinformatics literature and methodology matures.
As this methodology matures, the descriptive nature of the 'Diagnostic accuracy' levels in the revised hierarchy may no longer be required, as study designs in which bias is minimised are recognised (and possibly even named) as is currently the case with studies of therapeutic effectiveness.
