To cite lilikoi in publications use:
Fang X, Liu Y, Ren Z, Du Y, Huang Q, Garmire LX (2020).“Lilikoi V2.0: a deep-learning enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data.”bioRxiv.doi:10.1101/2020.07.09.195677,https://doi.org/10.1101/2020.07.09.195677.
AlAkwaa FM, Yunits B, Huang S, Alhajaji H, Garmire LX (2018).“Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data.”GigaScience,7(12).https://doi.org/10.1093/gigascience/giy136.
Corresponding BibTeX entries:
@Article{, title = {Lilikoi V2.0: a deep-learning enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data}, author = {Xinying Fang and Yu Liu and Zhijie Ren and Yuheng Du and Qianhui Huang and Lana X. Garmire}, journal = {bioRxiv}, year = {2020}, doi = {10.1101/2020.07.09.195677}, url = {https://doi.org/10.1101/2020.07.09.195677}, } @Article{, title = {Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data}, author = {Fadhl M. AlAkwaa and Breck Yunits and Sijia Huang and Hassam Alhajaji and Lana X. Garmire}, journal = {GigaScience}, year = {2018}, volume = {7}, number = {12}, url = {https://doi.org/10.1093/gigascience/giy136}, }