Finite-size effects in transcript sequencing count distribution : its power-law correction necessarily precedes downstream normalization and comparative analysis
Background: Though earlier works on modelling transcript abundance from vertebrates to lower eukaroytes have specifically singled out the Zip’s law, the observed distributions often deviate from a single power-law slope. In hindsight, while power-laws of critical phenomena are derived asymptotically...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2018
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/86009 http://hdl.handle.net/10220/45276 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|