Name
Title | ||
|---|---|---|
Using biomarkers to predict progression from clinically isolated syndrome to multiple sclerosis. |
Abstract | ||
|---|---|---|
Detection of brain lesions disseminated in space and time by magnetic resonance imaging remains a cornerstone for the diagnosis of clinically definite multiple sclerosis. We have sought to determine if gene expression biomarkers could contribute to the clinical diagnosis of multiple sclerosis. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/2043-9113-3-18 | J. Clinical Bioinformatics |
Keywords | Field | DocType |
Genomics, Multiple sclerosis, Disease prediction, Diagnosis | Multiple sclerosis,Biomarker (medicine),Clinical diagnosis,Bioinformatics,Clinically isolated syndrome,Medicine,Pathology,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
3 | 1 | 2043-9113 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John T. Tossberg | 1 | 1 | 0.96 |
| Philip Crooke | 2 | 4 | 1.66 |
| Melodie A. Henderson | 3 | 1 | 0.96 |
| Subramaniam Sriram | 4 | 64 | 5.84 |
| Davit Mrelashvili | 5 | 0 | 0.34 |
| Saskia Vosslamber | 6 | 0 | 0.34 |
| Cor L. Verweij | 7 | 0 | 0.34 |
| Nancy Olsen | 8 | 3 | 1.40 |
| Thomas M. Aune | 9 | 9 | 2.36 |