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Sentence examples for summarization of data from inspiring English sources

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"summarization of data" is a correct and usable phrase in written English.
It can be used when talking about the process of condensing or presenting key information or findings from a larger set of data. Example: The final report included a thorough summarization of data gathered from various surveys and research studies, allowing the team to identify key trends and make informed recommendations for the company's future strategy.

Exact(6)

Nevertheless, the aggregation process always implies summarization of data that can result in loss of information.

In conjunction with the increasingly common use of such long-play video data, the demand for retrieval and summarization of data has been growing.

In relation to this, Szafir et al. (2016) detailed four types of tasks (identification, summarization, segmentation, and structure estimation) that are well suited for ensemble displays because they utilize ensemble coding or the mental summarization of data.

Tiling Array Analyzer (TiArA) is a software program that provides a user-friendly graphical interface for the background subtraction, normalization, and summarization of data acquired through the Affymetrix tiling array platform.

MAS5 is the original method described by the manufacturer and involves classification of genes into "Present", "Marginal", and "Absent" in addition to normalization and summarization of data, and is a complex framework consisting of many conditional branches.

As the summarization of data with perfect objectivity in order to obtain abstract representations of measurements such as shown in Figure 4 is quite difficult, analysts tend to depend on personal criteria to judge the importance of each piece of information.

Similar(54)

Consequently, we adopted a different approach that is based on precomputing summarizations of data at multiple resolution scales, with rendering of the data deferred to runtime.

The MAS 5.0 algorithm was used for background adjustment, normalization, and probe-level summarization of microarray data [36].

These tools focus on the identification of transcriptionally active regions, while TiArA's main focus is the summarization of transcription data based upon previously existing annotations.

The RMA statistical algorithm [77], available under the Bioconductor software package of R, was used for background noise removal, normalization and summarization of microarray data corresponding to two independent experiments for each condition (cells starved for carbon for 30 and 60 min, and the respective controls).

This framework can automate the collection, organization and summarization of biological data [ 7].

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