Name
Title | ||
|---|---|---|
Inferring disease-associated microRNAs in heterogeneous networks with node attributes. |
Abstract | ||
|---|---|---|
Identification of disease-associated microRNAs (disease miRNAs) is an essential step towards discovering causal miRNAs and understanding disease pathogenesis. Two sources of information can be exploited for predicting disease miRNAs: one includes the connections between miRNAs, between diseases, and between miRNAs and diseases, and the other has the attributes of miRNA nodes. The former contains i... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCBB.2018.2872574 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Diseases,Heterogeneous networks,Neoplasms,Semantics,Computer science,Reliability,Ontologies | Journal | 17 |
Issue | ISSN | Citations |
3 | 1545-5963 | 1 |
PageRank | References | Authors |
0.37 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Xuan | 1 | 30 | 6.36 |
| Tonghui Shen | 2 | 4 | 0.75 |
| Xiao Wang | 3 | 445 | 29.80 |
| Tiangang Zhang | 4 | 9 | 2.83 |
| Weixiong Zhang | 5 | 1458 | 119.03 |