Predicting Sites of Epitranscriptome Modifications Using Unsupervised Representation Learning Based on Generative Adversarial Networks is a research paper published in Frontiers in Physics (2020). On theSindex it has a DataRank of 0. It has been cited 16 times.
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NIGMS NIH HHS
Grant: R01 GM113245
NCATS NIH HHS
Grant: UM1 TR004538
NCRR NIH HHS
Grant: UL1 RR025767
NCI NIH HHS
Grant: P30 CA054174
NCATS NIH HHS
Grant: UL1 TR002645
NCI NIH HHS
Grant: K99 CA248944
FWCI
0.89
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Additional file 1 of CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training
Additional file 1 of CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training