Finite-size effects in transcript sequencing count distribution: its power-law correction necessarily precedes downstream normalization and comparative analysis

@norabelrose Interesting! It seems something similar has been observed in transcriptomics count data, where the count distribution morphs from Zipf to exponential decay, and it’s believed to indeed be a finite sample issue. https://t.co/AxlzSnmceF