Prediction models of five brain region gene expression in rats.

See description in Santhanam, Sanchez Roige, et al (2024).

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References

Natasha Santhanam, Sandra Sanchez-Roige, Yanyu Liang, Apurva S. Chitre, Daniel Munro, Denghui Chen, Riyan Cheng, Festus Nyasimi, Margaret Perry, Jianjun Gao, Anthony M. George, Alex Gileta, Katie Holl, Alesa Hughson, Christopher P. King, Alexander C. Lamparelli, Connor D. Martin, Angel Garcia Martinez, Sabrina Mi, Celine L. St. Pierre, Jordan Tripi, Tengfei Wang, Hao Chen, Shelly Flagel, Keita Ishiwari, Paul Meyer, Laura Saba, Leah C. Solberg Woods, Oksana Polesskaya, Abraham A. Palmer, Hae Kyung Im, RatXcan: Framework for translating genetic results between species via transcriptome-wide association analyses, bioRxiv 2022.06.03.494719; doi: https://doi.org/10.1101/2022.06.03.494719

Munro, D., Wang, T., Chitre, A. S., Polesskaya, O., Ehsan, N., Gao, J., Gusev, A., Woods, L. C. S., Saba, L. M., Chen, H., Palmer, A. A., & Mohammadi, P. (2022). The regulatory landscape of multiple brain regions in outbred heterogeneous stock rats. Nucleic Acids Research, 50(19), 10882–10895. https://doi.org/10.1093/nar/gkac912

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For attribution, please cite this work as

Haky Im (2024). Ratxcan brain prediction models. PredictDB. /post/2024/02/28/ratxcan-brain-prediction-models/

BibTeX citation

@misc{
  title = "Ratxcan brain prediction models",
  author = "Haky Im",
  year = "2024",
  journal = "PredictDB",
  note = "/post/2024/02/28/ratxcan-brain-prediction-models/"
}