Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models

Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models

Abstract Background An increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenomiRs by animals. Results Here, we analyzed...

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Bibliographic Details
Main Authors: Qi Zhao, Qian Mao, Zheng Zhao, Tongyi Dou, Zhiguo Wang, Xiaoyu Cui, Yuanning Liu, Xiaoya Fan
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Genomics
Subjects:
miRNA
Plant-derived xenomiR
Cross-kingdom regulation
Selective absorption
Statistics analysis
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12864-018-5227-3

Internet

http://link.springer.com/article/10.1186/s12864-018-5227-3

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