Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments
Abstract Background In RNA-sequencing studies a large number of hypothesis tests are performed to compare the differential expression of genes between several conditions. Filtering has been proposed to remove candidate genes with a low expression level which may not be relevant and have little or no...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-09-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-022-04928-z |