Projects citing the RC ressource
List of publication reusing Regulatory Circuits results (with more than 15 citations themselves), that motivated this RDFisation:
- Gao, L., Uzun, Y., Gao, P., He, B., Ma, X., Wang, J., Han, S., Tan, K.: Identifying noncoding risk variants using disease-relevant gene regulatory networks. Naturecommunications 9(1), 1–12 (2018)
- Horn, H., Lawrence, M.S., Chouinard, C.R., Shrestha, Y., Hu, J.X., Worstell, E.,Shea, E., Ilic, N., Kim, E., Kamburov, A., et al.: Netsig: network-based discovery from cancer genomes. Nature methods 15(1), 61 (2018)
- Jia, P., Han, G., Zhao, J., Lu, P., Zhao, Z.: Szgr 2.0: a one-stop shop of schizophrenia candidate genes. Nucleic acids research45(D1), D915–D924 (2017)
- Lomberk, G., Blum, Y., Nicolle, R., Nair, A., Gaonkar, K.S., Marisa, L., Mathison,A., Sun, Z., Yan, H., Elarouci, N., et al.: Distinct epigenetic landscapes underlie the pathobiology of pancreatic cancer subtypes. Nature communications 9(1), 1–10 (2018)
- Lòpez, C., Kleinheinz, K., Aukema, S.M., Rohde, M., Bernhart, S.H., Hübschmann,D., Wagener, R., Toprak, U.H., Raimondi, F., Kreuz, M., et al.: Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic burkitt lymphoma.Nature communications 10(1), 1–19 (2019)
- Noh, H., Shoemaker, J.E., Gunawan, R.: Network perturbation analysis of gene transcriptional profiles reveals protein targets and mechanism of action of drugs and influenza a viral infection. Nucleic acids research46(6), e34–e34 (2018)
- Paul, D.S., Teschendorff, A.E., Dang, M.A., Lowe, R., Hawa, M.I., Ecker, S., Beyan,H., Cunningham, S., Fouts, A.R., Ramelius, A., et al.: Increased dna methylation variability in type 1 diabetes across three immune effector cell types. Nature communications 7(1), 1–11 (2016)
- Saelens, W., Cannoodt, R., Saeys, Y.: A comprehensive evaluation of module detection methods for gene expression data. Nature communications 9(1), 1–12 (2018)
- Saelens, W., Cannoodt, R., Todorov, H., Saeys, Y.: A comparison of single-cell trajectory inference methods.Nature biotechnology37(5), 547–554 (2019)
- Vosa, U., Claringbould, A., Westra, H.J., Bonder, M.J., Deelen, P., Zeng, B.,Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al.: Unraveling the polygenic architecture of complex traits using blood eqtl meta-analysis. BioRxiv p447367 (2018)