The phrase "analysis designed to detect" is correct and usable in written English.
It can be used in contexts where you are discussing a specific type of analysis that has been created with the purpose of identifying or uncovering certain information or patterns.
Example: "The study employed an analysis designed to detect anomalies in the data set."
Alternatives: "examination intended to identify" or "assessment aimed at uncovering".
Using microarray analysis designed to detect the majority of mammalian miRNAs identified thus far, we demonstrated that miRNAs are aberrantly expressed in hypertrophic mouse hearts.
We approached the problem of localizing electroreception in rabbits by using recurrence quantification analysis (RQA), a novel method of nonlinear analysis designed to detect small deterministic changes in a larger signal irrespective of considerations involving stationarity.
In this interim analysis 215 PBL and 177 BM samples were analyzed by multimarker, real-time RT-PCR analysis designed to detect circulating and disseminated breast cancer cells.
Teachers, observes and students assessments of delivery will be compared and students interviews will be subjected to thematic analysis designed to detect informational, belief, motivational and confidence in behaviour skills changes.
In 2007, using a genome-wide comparative analysis designed to detect regions exhibiting evolutionary signatures specific to protein-coding regions (PhyloCSF) (Lin et al. 2007, 2011), a surprising number of such regions was found immediately beyond annotated stop codons.
Our analysis is designed to detect this slip-deficient area by summing the seismic slip (white areas in Fig. 8); however, we cannot extract the hidden source area using earthquakes with slips larger than the relative plate displacement (Fig. 8b).
This adductome approach utilized LC/ESI-MS/MS analysis methods designed to detect the neutral loss of 2′-deoxyribose from positively ionized 2′-deoxynucleoside adducts transmitting the [M+H]+ > [M+H−116]+ transition over 374 transitions.
Multifactor Dimensionality Reduction (MDR) is an analysis method designed to detect multi-locus interactions in large datasets.
Gene set enrichment analysis approaches are designed to detect modest but coordinated changes in the expression of groups of functionally related genes [39], [40].
The analysis workflow was designed to detect both single nucleotide substitutions and microindels.
The analysis pipeline was designed to detect all known and any novel HLA class I and KIR SNP variants.
