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This repository includes JTI, PrediXcan, and UTMOST (genetic) models of gene expression for use in transcriptome-wide association studies. REFERENCES Please cite the following: Gamazon, E. R. & Zhou, D. (2020). JTI (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3842289 Zhou, D., Jiang, Y., Zhong, X., Cox, N. J., Liu, C., & Gamazon, E. R. (2020). A unified framework for joint-tissue transcriptome-wide association and Mendelian randomization analysis. Nature Genetics. (https://www.nature.com/articles/s41588-020-0706-2) Correspondence should be addressed to: ERG (ericgamazon@gmail.com) and DZ (dan.zhou@vumc.org)
citations 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). | 5 | |
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. | Top 10% | |
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 |
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