Prediction of Time-Series Transcriptomic Gene Expression Based on Long Short-Term Memory with Empirical Mode Decomposition

RNA degradation can significantly affect the results of gene expression profiling, with subsequent analysis failing to faithfully represent the initial gene expression level. It is urgent to have an artificial intelligence approach to better utilize the limited data to obtain meaningful and reliable...

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Detalles Bibliográficos
Autores principales: Zhou, Ying, Jia, Erteng, Shi, Huajuan, Liu, Zhiyu, Sheng, Yuqi, Pan, Min, Tu, Jing, Ge, Qinyu, Lu, Zuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322773/
https://www.ncbi.nlm.nih.gov/pubmed/35886880
http://dx.doi.org/10.3390/ijms23147532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322773/
https://www.ncbi.nlm.nih.gov/pubmed/35886880
http://dx.doi.org/10.3390/ijms23147532

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