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Elements of statistics
| Content Provider | Scilit |
|---|---|
| Author | Draghici, Sorin |
| Copyright Year | 2016 |
| Description | The basics of microarray data analysis historically relied on the ratio of two signals from a spot. One signal came from a red dye and the other from a green dye. Initially, it was postulated that the relevant information from two-dye microarray experiments is captured in the ratio of these two signals from each spot. In addition, tools such as clustering techniques were applied to data analysis without too much attention to classical statistical analysis. Gary Churchill and his postdoctoral researcher Kathleen Kerr were among the first to observe that the needs and challenges of the data coming from microarray some time revisiting some basic notions of statistics. Book Name: Statistics and Data Analysis for Microarrays Using R and Bioconductor |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2009-0-01898-2&isbn=9780429130588&doi=10.1201/b11566-13&format=pdf |
| Ending Page | 308 |
| Page Count | 54 |
| Starting Page | 255 |
| DOI | 10.1201/b11566-13 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2016-04-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Statistics and Data Analysis for Microarrays Using R and Bioconductor Microarray Revisiting Notions Basics Coming Postulated Postdoctoral Kathleen |
| Content Type | Text |
| Resource Type | Chapter |
