Combining assumptions and graphical network into gene expression data analysis
Abstract Background Analyzing gene expression data rigorously requires taking assumptions into consideration but also relies on using information about network relations that exist among genes. Combining these different elements cannot only improve statistical power, but also provide a better framew...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-07-01
|
| Series: | Journal of Statistical Distributions and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40488-021-00126-z |