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Learn about the process of shortening a set of data computationally, to create a subset that represents the most important or relevant information. Explore different types of data, approaches, applications and systems for automatic summarization.
A comprehensive overview of the tools and resources for RNA-Seq data analysis, from design to quality control, alignment, annotation, differential expression and more. Find links to web pages, software packages and papers for each step of the process.
Learn what descriptive statistics are, how they differ from inferential statistics, and how they are used to summarize and describe data. Find examples of descriptive statistics for univariate, bivariate and multivariate data, and related concepts and methods.
The summary above was drafted with the help of AI tools and edited by journalists in our News division. All stories below were reported, written and edited by McClatchy journalists.
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
The summary above was drafted with the help of AI tools and edited by journalists in our News division. All stories below were reported, written and edited by McClatchy journalists. ...
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