The phrase "an intersection analysis" is correct and usable in written English.
It can be used when discussing the examination of the points where different factors, variables, or elements meet or overlap, often in research or data analysis contexts.
Example: "The study conducted an intersection analysis to understand how socioeconomic status and education level affect health outcomes."
Alternatives: "a cross-sectional analysis" or "a convergence analysis".
Next, a parallel computation is performed such that each cell conducts an intersection analysis on its own fracture data.
Due to the difference in optimum fin pitch obtained by these performance indexes, an intersection analysis was conducted.
Using an intersection analysis of 3892 differentially expressed genes (DEGs) out of 27,171 total genes analyzed, we identified 338 senescence-related DEGs.
Thus, we performed an intersection analysis of the top ~5% of transcripts from the three groups.
Significant performance-related activation was submitted to an intersection analysis (using the "and" operation) with task-related activation.
Then, these ROIs were further refined by using an intersection analysis (using the "and" operation) on the significant activation obtained from performance-related and task-related analysis.
Therefore, it is necessary to design a parallel intersection analysis algorithm by partitioning the region of study, where each processor only requires a portion of the data during the analysis process.
Chimeric gene-TE transcripts were identified by three independent methods (with the following number codes used in Additional file 1): 1) a genomic coordinate intersection analysis; 2) a TE-to-gene BLAST analysis; and 3) a TE-to-EST-to-gene BLAST analysis.
Fadakar et al. (2011) designed a general framework for intersection analysis that handles polygon fractures, and more detailed algorithm can be found at Einstein and Locsin (2012).
To solve the problem of cloth-to-cloth collisions, Michael Kass, Pixar's senior scientist, was joined on Monsters, Inc. by David Baraff and Andrew Witkin and developed an algorithm they called "global intersection analysis" to handle the problem.
We took the intersection of genes identified in both the meta-analysis and in-house microarray experiment, and this intersection analysis produced a list of 138 genes, which were used as the feature set for developing the gene signature for recurrence.
