Graph Embedding Based Novel Gene Discovery Associated With Diabetes Mellitus
Diabetes mellitus is a group of complex metabolic disorders which has affected hundreds of millions of patients world-widely. The underlying pathogenesis of various types of diabetes is still unclear, which hinders the way of developing more efficient therapies. Although many genes have been found a...
Guardado en:
Autores principales: | Jianzong Du, Dongdong Lin, Ruan Yuan, Xiaopei Chen, Xiaoli Liu, Jing Yan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c1d0cf5952a84b24a761cb68e23a744a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Knowledge Graph Embedding Technology: A Review
por: SHU Shitai, LI Song+, HAO Xiaohong, ZHANG Liping
Publicado: (2021) -
EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
por: Shanchen Pang, et al.
Publicado: (2021) -
Graph Embedding for Scholar Recommendation in Academic Social Networks
por: Chengzhe Yuan, et al.
Publicado: (2021) -
A note on subspace sum graph of vector spaces
por: Ramanathan Venkatasalam, et al.
Publicado: (2021) -
Markov Chain Neighborhood Sparse Preserving Graph Embedding Based on Tensor Factorization for Batch Process Monitoring
por: Xiaoqiang Zhao, et al.
Publicado: (2021)