The phrase "a pooling framework for" is correct and usable in written English.
It can be used when discussing a system or structure designed to aggregate resources, data, or information for a specific purpose.
Example: "The researchers developed a pooling framework for data sharing among various institutions to enhance collaboration."
Alternatives: "a resource aggregation system for" or "a collective framework for".
In this article, we propose a new heuristic algorithm for the CTOP using the ejection pool framework with an adaptive strategy and a diversification mechanism based on toggling between two priority rules.
We first describe a theoretical framework for establishing the effectiveness of pooling genomic DNA as a low-cost alternative to individually genotyping thousands of samples on high-density SNP microarrays.
Nelson and Nusse (2004) [4] provided a conceptual framework for intersection of these β-catenin pools in the context of differentiation and development.
The work described here contains a lovely and comprehensive description of exocytosis: the ability to capture classic omega-figures, docked and tethered vesicles provides a convincing framework for looking at vesicle dynamics and pool refilling.
Using pooled data may provide an important framework for public health researchers and policymakers in reviewing and designing new child survival intervention strategies.
These observations provide a critical framework for the interpretation of in vivo animal and clinical data derived from pooled samples obtained by airway lavage or tissue homogenization.
The statistical procedures outlined above provide a logical framework for extracting population-genetic information from high-coverage genomic sequences derived from pooled-population samples.
Considering the notion that a common pool of cardiac progenitors gives rise to pacemaker cells and contractile cardiomyocytes, our work suggests a regulatory framework for how cardiac progenitor cells differentiate.
High-throughput sequencing of cDNA pools derived directly from microbial communities allows analysis of the (meta transcription profiles and may provide a molecular framework for interpreting physiochemical measurements of metabolism in chemosynthetic symbionts (Stewart et al. 2011).
We developed a computational framework for the design of complex (eukaryotic) gene circuits by generating dynamic models of parts and pools via the joint usage of the BioNetGen rule-based modeling approach and MDL.
