journal cover

Avoiding test set bias with rank-based prediction

bioRxiv

Jun 6, 2014

Prasad PatilJeffrey T Leek

Abstract

Background Prior to applying genomic predictors to clinical samples, the genomic data must be properly normalized. The most effective normalization methods depend on the data from multiple patients. From a biomedical perspective this implies that predictions for a single patient may cha...read more

Mentioned in this Paper

Microarray Analysis
Topical Dosage Form
Biomedicine
Normalize
Tetraspanins
Subtype (Attribute)
Size
Malignant Neoplasm of Breast
Cell Differentiation Process
Breast Carcinoma
5
5
Paper Details
References
  • References
  • Citations
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations
  • quote and clock

    No citations available

    This paper may not have been cited yet.

Avoiding test set bias with rank-based prediction

bioRxiv

Jun 6, 2014

Prasad PatilJeffrey T Leek

PMID: 990005983

DOI: 10.1101/005983

Abstract

Background Prior to applying genomic predictors to clinical samples, the genomic data must be properly normalized. The most effective normalization methods depend on the data from multiple patients. From a biomedical perspective this implies that predictions for a single patient may cha...read more

Mentioned in this Paper

Microarray Analysis
Topical Dosage Form
Biomedicine
Normalize
Tetraspanins
Subtype (Attribute)
Size
Malignant Neoplasm of Breast
Cell Differentiation Process
Breast Carcinoma
5
5
Paper Details
References
  • References
  • Citations
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations
  • quote and clock

    No citations available

    This paper may not have been cited yet.
/papers/avoiding-test-set-bias-with-rank-based/990005983