Lilikoi V2.0: a deep learning-enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data.
Lilikoi V2.0: a deep learning-enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data.
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Lilikoi V2.0：支持深度学习、基于个性化路径的R包，用于使用代谢组学数据进行诊断和预后预测。
DOI：
10.1093/gigascience/giaa162
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发表时间：
2021-01-23
期刊：
影响因子：
9.2
通讯作者：
Garmire LX
中科院分区：
文献类型：
--
作者：
Fang X;Liu Y;Ren Z;Du Y;Huang Q;Garmire LX
previously we developed Lilikoi, a personalized pathway-based method to classify diseases using metabolomics data. Given the new trends of computation in the metabolomics field, it is important to update Lilikoi software. here we report the next version of Lilikoi as a significant upgrade. The new Lilikoi v2.0 R package has implemented a deep learning method for classification, in addition to popular machine learning methods. It also has several new modules, including the most significant addition of prognosis prediction, implemented by Cox-proportional hazards model and the deep learning–based Cox-nnet model. Additionally, Lilikoi v2.0 supports data preprocessing, exploratory analysis, pathway visualization, and metabolite pathway regression. Lilikoi v2.0 is a modern, comprehensive package to enable metabolomics analysis in R programming environment.
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影响因子：
--
作者：
Fan Y;Zhou X;Xia TS;Chen Z;Li J;Liu Q;Alolga RN;Chen Y;Lai MD;Li P;Zhu W;Qi LW
通讯作者：
Qi LW
影响因子：
4.6
作者：
John, Christopher R.;Watson, David;Barnes, Michael
通讯作者：
Barnes, Michael
影响因子：
9.2
作者：
Al-Akwaa, Fadhl M.;Yunits, Breck;Garmire, Lana X.
通讯作者：
Garmire, Lana X.
影响因子：
12.3
作者：
Huang S;Chong N;Lewis NE;Jia W;Xie G;Garmire LX
通讯作者：
Garmire LX
影响因子：
4.4
作者：
Budczies J;Denkert C;Müller BM;Brockmöller SF;Klauschen F;Györffy B;Dietel M;Richter-Ehrenstein C;Marten U;Salek RM;Griffin JL;Hilvo M;Orešič M;Wohlgemuth G;Fiehn O
通讯作者：
Fiehn O