Lung Reference Set A Application: LaszloTakacs - Biosystems (2010)

Abbreviated Name
Lung Ref Set A App: Takacs (2010)
Lead Investigator
Takacs, LaszloBiosystems International SAS
Coordinating Investigator
Feng, Ziding Fred Hutchinson Cancer Center
Involved Investigators

Abstact

Aims

Validate the panel of monoclonal antibodies

Analytic Method

To complete the research phase of the project, we refine our algorithm. From this experiment, we will select the final panel of antibodies which will be used to develop the final diagnostic test. This final panel of antibodies used is selected as the panel showing the highest discrimination between the two groups (control vs. lung cancer). A learning algorithm based on LDA (Linear Discrimination Analysis) model is applied on each potential panel (called classifiers) and the performance of each classifier is evaluated calculating the AUC (area under the receiver operating curve) by Leave-One-Out-Cross validation (LOOCV). With the refined algorithm, we would like to test the Combined Pre-Validation Set A of the NCI lung cancer reference set.

Biomarkers

Data Collections

  • No data available at this time for this protocol
 Team Project
Protocol ID
321
Protocol Type
Reference Set
Field of Research
Proteomics
Collaborative Group
Lung and Upper Aerodigestive Cancers Research Group
Cancer Types
  • Malignant neoplasm of bronchus and lung
Phased Status
1

Associated Forms