From: Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments
Data set | m(% of genes with only zero counts) | \(n_1/n_2\) | Description |
---|---|---|---|
Kidney | 20531 (3) | 72/ 72 | non-tumour versus tumour samples [6] |
Kidney 2 | 20531 (5) | 10/10 | random sample of Kidney data set |
Bottomly | 36536 (35) | 10/11 | C57BL/6J versus DBA/2J (mice strains) [7] |
Mouse mammary | 27179 (21) | 6/6 | basal versus luminal cell types in mice [10] |
Sultan | 52580 (83) | 2/2 | human embryonic kidney versus B cell lines [8] |
Airway | 64102 (52) | 4/4 | Airway smooth muscle cell lines [19] |
Airway 2 | 64102 (52) | 2/2 | random sample of Airway data set [19] |
De novo assembly: | Â | \(n_1/../n_4\) | Â |
Yuen | 96831 (12) | 3/3/3/3 | transcriptomes of lucinid clam of 4 organs [20] |
Only data simulation: | Â | \(n_1\) | Â |
Cheung | 52580 (76)\(^1\) | 41 | lymphoblastoid cell lines from unrelated |
 |  |  | individuals [11] |