Name
Title | ||
|---|---|---|
A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity. |
Abstract | ||
|---|---|---|
With the help of RLDA, the hotspots analysis-relation discovery results on diabetes and obesity were achieved. We extracted the significant relationships between them and other diseases such as Alzheimer's disease, heart disease and tumor. It is believed that the new proposed representation learning algorithm can help biomedical researchers better focus their attention and optimize their research direction. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12918-018-0640-4 | BMC Systems Biology |
Keywords | Field | DocType |
Diabetes mellitus,Obesity,Representative latent Dirichlet allocation | Public health,Data science,Diabetes mellitus,Latent Dirichlet allocation,Biology,Relation discovery,Systems biology,Obesity,Bioinformatics,Topic model | Journal |
Volume | Issue | ISSN |
12 | Suppl 7 | 1752-0509 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guannan He | 1 | 1 | 0.69 |
| Yanchun Liang | 2 | 495 | 63.74 |
| Yan Chen | 3 | 145 | 45.22 |
| William Yang | 4 | 36 | 5.82 |
| Jun S. Liu | 5 | 998 | 162.67 |
| Mary Qu Yang | 6 | 933 | 191.35 |
| Renchu Guan | 7 | 175 | 19.41 |