
These scripts are implementing a two-step approach for detecting eQTL and conditional eQTL analysis for cell type gene expression in single cell RNA seq study. Relevant R packages: SVA (version 3.52.0, DOI: 10.18129/B9.bioc.sva), MatrixEQTL (version 2.1.0, link: https://www.bios.unc.edu/research/genomic_software/Matrix_eQTL/runit.html)optparse (version 1.7.5, for passing parameters from command line, link: https://cran.r-project.org/web/packages/optparse/index.html) Additional information, pls see the README file.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
