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Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis

Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5bba53115cb45b8984247e6e1b0c5c2

Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis

About this item

Full title

Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis

Publisher

London, England: SAGE Publishing

Journal title

Cancer informatics, 2015-01, Vol.2015 (14), p.CIN.S23862-81

Language

English

Formats

Publication information

Publisher

London, England: SAGE Publishing

More information

Scope and Contents

Contents

Gene expression signatures are commonly used to create cancer prognosis and diagnosis methods, yet only a small number of them are successfully deployed in the clinic since many fail to replicate performance on subsequent validation. A primary reason for this lack of reproducibility is the fact that these signatures attempt to model the highly vari...

Alternative Titles

Full title

Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f5bba53115cb45b8984247e6e1b0c5c2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5bba53115cb45b8984247e6e1b0c5c2

Other Identifiers

ISSN

1176-9351

E-ISSN

1176-9351

DOI

10.4137/CIN.S23862

How to access this item