Pages that link to "Item:Q1734424"
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The following pages link to A novel approach for predicting disease-lncRNA associations based on the distance correlation set and information of the miRNAs (Q1734424):
Displaying 8 items.
- Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method (Q669029) (← links)
- Maximal entropy random walk on heterogenous network for miRNA-disease association prediction (Q669090) (← links)
- miRNA-disease association prediction with collaborative matrix factorization (Q1688045) (← links)
- A novel model for predicting associations between diseases and lncRNA-miRNA pairs based on a newly constructed bipartite network (Q1737325) (← links)
- A novel method for predicting disease-associated lncRNA-mIRNA pairs based on the higher-order orthogonal iteration (Q2003681) (← links)
- Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks (Q2328466) (← links)
- A novel neighborhood-based computational model for potential miRNA-disease association prediction (Q2632287) (← links)
- Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm (Q6095589) (← links)
