WebChen et al. presented another method WBSMDA to identify the associations between miRNAs and diseases by calculating Gaussian interaction profile kernel similarity for both miRNAs and diseases. Specifically, a within-score and a between-score were calculated and combined to gain a prediction score for each miRNA-disease pair. WebContribute to quiewbee/ws-PyXMCDA development by creating an account on GitHub.

Improved Prediction of miRNA-Disease Associations Based on …

WebGitHub Gist: instantly share code, notes, and snippets. Skip to content. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and … WebJan 21, 2024 · Chen et al. developed WBSMDA, which integrates miRNA functional similarity, disease semantic similarity, and Gaussian interaction profile kernel similarity to predict disease-related miRNAs [21]. Sun et al. proposed NTSMDA, which is a new method of network topology similarity measurement [22]. problems with humax freeview box

Efficient framework for predicting MiRNA-disease associations …

WebTo demonstrate the effectiveness of the KMDR model, we compared its two sub-algorithms with six state-of-the-art models, namely, MIDP, 18 MIDPE, 18 RLSMDA, 22 WBSMDA, 19 KRLSM, 23 and RKNNMDA. 24 The parameters in MIDP, MIDPE, RLSMDA, KRLSM, and RKNNMDA are all chosen according to the author's recommendation. WebFeb 21, 2024 · Furthermore, Chen et al. 18 developed a novel prediction method named WBSMDA for inferring miRNA-disease based on integrating miRNA functional similarity, disease semantic similarity, the known ... WebJun 3, 2024 · Author summary Identifying miRNA-disease associations accelerates the understanding towards pathogenicity, which is beneficial for the development of treatment tools for diseases. Different from existing methods, our GCSENet captures the deep relationship between miRNA and disease through three heterogeneous graphs (disease, … problems with human overpopulation