The phrase "analysis for the detection" is correct and usable in written English.
It can be used in contexts where you are discussing methods or processes aimed at identifying or discovering something through analysis.
Example: "The research team conducted an analysis for the detection of early signs of disease in the patient population."
Alternatives: "assessment for identification" or "evaluation for discovery".
The gene-based analysis for the detection of rare variants should be different from that for detecting common variants.
In this section we extend the analysis for the detection performance with a randomly distributed hold time.
Visual image analysis for the detection of new lesions and the calculation of BSI is time consuming and subjective and involves inter-observer variability.
In addition, the results for a cyclic push pull load and the analysis for the detection of damage in sandwich panels is presented.
The approach starts with a phase of static analysis for the detection of human candidates through some classical image processing techniques such as image normalization and thresholding.
In this test, the recording of the electroencephalographic activity and the submental electromyogram is the source of the analysis for the detection of electroencephalographic arousals.
The VISICON solution has been validated by using a large set of data and statistical analysis for the detection of joint buttons and for their quality assessment.
In this study the feasibility of 50- and 60-mer oligonucleotides in microarray analysis for the detection and identification of antibiotic resistance genes in various Salmonella strains was assessed.
AOD is estimated from the irradiance measurements at two different spectral bands – Ultraviolet (UV) and near infrared (NIR) – which also enables color index (CI) analysis for the detection of clouds.
The aim of this manuscript is to propose robust measures of remotely sensed heterogeneity to perform exploratory analysis for the detection of hotspots of taxonomic and functional diversity of plant species.
Edge-detection algorithms have the potential to play an increasingly important role both in single particle analysis (for the detection of randomly oriented particles), and in tomography (for the segmentation of 3D volumes).
