Visualization methods for differential expression analysis
Abstract Background Despite the availability of many ready-made testing software, reliable detection of differentially expressed genes in RNA-seq data is not a trivial task. Even though the data collection is considered high-throughput, data analysis has intricacies that require careful human attent...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-09-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-019-2968-1 |