| Accession |
PMDE138 |
| Name |
Immunosignature system for diagnosis of cancer |
| Description |
To explore the ability of an immunosignature to detect and identify multiple diseases simultaneously, 20 samples from each of five cancer cohorts collected from multiple sites and 20 noncancer samples (120 total) were used as a training set to develop a reference immunosignature. A blinded evaluation of 120 blinded samples covering the same diseases gave 95% classification accuracy. To investigate the breadth of the approach and test sensitivity to biological diversity further, immunosignatures of >1,500 historical samples comprising 14 different diseases were examined by training with 75% of the samples and testing the remaining 25%. |
| Publication |
Immunosignature system for diagnosis of cancer
(Go to PubMed)
|
| Provider |
Phillip Stafford |
| Species |
Homo sapiens |
| Subspecies |
Empty
|
| Array type |
Multi-array |
| Sample |
Serum |
| Number of array |
2 |
| Array(2) |
10K immunosignaturing peptide microarray version 2
ASU_random-sequence peptide microarray
|
| Raw data |
download
|
| Experiment details |
download
|
| Analysis report |
No relevant analysis report. If you want to analyse this data, please contact us. |
| Link to GEO |
GSE52582
|
