Most High Throughput Expression Data Sets Are Underpowered
| العنوان: | Most High Throughput Expression Data Sets Are Underpowered |
|---|---|
| المؤلفون: | Alexander J. Trostle, Jiasheng Wang, Lucian Li, Ying-Wooi Wan, Zhandong Liu |
| بيانات النشر: | Cold Spring Harbor Laboratory, 2022. |
| سنة النشر: | 2022 |
| الوصف: | Researchers handicap their high-throughput sequencing experiments when they do not perform enough biological replicates. Given that biological tissues can be highly variable, too few replicates will lead to false negatives, false positives, irreproducibility, and failure to detect real biological signatures. We propose that at least six biological replicates per condition becomes the standard for high-throughput expression datasets. |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::a12c23502a5f62c233366917a98cd5a3 https://doi.org/10.1101/2022.08.03.502688 |
| رقم الأكسشن: | edsair.doi...........a12c23502a5f62c233366917a98cd5a3 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |