Diagnostic Signature Challenge - The Challenge

Diagnostic Signature Challenge - The Challenge

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The Diagnostic Signature Challenge is closed

 

The goal of the diagnostic signature challenge was to assess and verify computational approaches that classify clinical samples based on transcriptomics data. As challenge participants we asked you to establish predictive signatures on unlabeled gene expression data sets in 4 disease areas: Psoriasis, Multiple Sclerosis, Chronic Obstructive Pulmonary Disease and Lung Cancer. The submitted predictions and signatures were scored by an Independent Scoring Committee against the Gold Standard (i.e. transcription data including phenotypic labels).

 

Please click on the following links to find out more about each of the sub-challenges

1. Psoriasis
2. Multiple Sclerosis
  2.1. MS Stage
  2.2. MS Diagnostic
3. Chronic Obstructive Pulmonary Disease
4. Lung Cancer

 

Overall Ranking for Diagnostic Signature Challenge

 

The Diagnostic Signature Challenge has been successfully conducted and is now closed.

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