Evaluation of different statistical methods using SAS software: an in silico approach for analysis of real-time PCR data
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: 2017DOI: 10.1080/02664763.2016.1276890
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Evaluation of different statistical methods using SAS software: an in silico approach for analysis of real-time PCR data
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| contributor author | Mohammadreza Nassiri | |
| contributor author | Mahdi Elahi Torshizi | |
| contributor author | Shahrokh Ghovvati | |
| contributor author | Mohammad Doosti | |
| date accessioned | 2020-03-15T01:52:12Z | |
| date available | 2020-03-15T01:52:12Z | |
| date issued | 2017 | |
| identifier other | a7VZgJBBYtow3WqA7ZtfHzBI3y3G7Goilym201qK9IISW5czGu.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1809346 | |
| format | general | |
| language | English | |
| title | Evaluation of different statistical methods using SAS software: an in silico approach for analysis of real-time PCR data | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 12833590 | |
| identifier doi | 10.1080/02664763.2016.1276890 | |
| journal title | Journal of Applied Statistics | |
| coverage | Academic | |
| pages | 1-14 | |
| filesize | 2017423 | |
| citations | 4 |