The phrase "analysed using a combination" is correct and usable in written English.
It can be used when describing a method or approach that involves multiple techniques or tools for analysis.
Example: "The data was analysed using a combination of statistical methods and qualitative assessments to ensure comprehensive results."
Alternatives: "examined through a mix of" or "evaluated with a blend of".
The model is analysed using a combination of numerical simulations and a comparison principle.
Lignin, cellulose, xylan, terpene and flowering-related gene families were analysed using a combination of gene annotation, phylogenetic analysis and mRNA-seq expression profiling.
The data were analysed using a combination of ordination (DCA, RDA), variance partitioning (using pRDA) and binary linear regression.
The recovered archaeometallurgical materials – slag, furnace wall, and tuyères – were analysed using a combination of optical microscopy, SEM-EDS and ED-XRF.
The interpreted and transcribed interviews were analysed using a combination of thematic and narrative strategies (interviews at the start of the project) and of content, thematic and narrative strategies (evaluation interviews).
Data extracted 8th April 2016 and analysed using a combination of R and Excel statistical software.
New genomic techniques coupled to the astounding present-day DNA sequencing power [ 2] and high-resolution structural analyses using a combination of modern methods [ 3] are beginning to give us a new sense of chromosome organization.
Recent phylogenetic analyses using a combination of molecular and morphological data [ 11], or nuclear genes [ 9, 10] support a basal position among chelicerates.
Proteomics analyses using a combination of mass spectrometry and sequence database searches also showed the presence of PARP-1 in the nucleolus of HeLa cells.
Because these three programs are based on different algorithms, analyses using a combination of two or all three programs would increase the total number of acquired genes identified.
While MS-based proteomics offers valuable information for understanding complex biological systems, systems-level quantitative analyses using a combination of broad proteomic, metabolomic, lipidomic and glycomic MS analyses (termed pan-omics) will be increasingly important.
