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...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/86009 http://hdl.handle.net/10220/45276 |
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| Institution: | Nanyang Technological University |
| Language: | English |