Apache Spark Solution for Rank Product
The "rank product" is a statistical technique, used for detecting differentially regulated genes in replicated microarray experiments. The technique has achieved widespread acceptance and is now used more broadly, in such diverse fields as RNAi analysis, proteomics, and machine learning. T...
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| Idioma: | Inglés |
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O'Reilly Media, Inc
2015.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630251806719 |
| Sumario: | The "rank product" is a statistical technique, used for detecting differentially regulated genes in replicated microarray experiments. The technique has achieved widespread acceptance and is now used more broadly, in such diverse fields as RNAi analysis, proteomics, and machine learning. The "rank product" technique may be used in ranking users (in social networks) and items (such as Amazon.com).Given large set of genes, users, or items, in this webcast I will present two distinct Spark solutions: (using groupByKey() and combineByKey()) for solving the "rank product". |
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| Notas: | Title from title screen (viewed February 12, 2016). Date of publication from resource description page. |
| Descripción Física: | 1 online resource (1 video file, approximately 42 min.) |
