"Pre-conditioning" for feature selection and regression in high-dimensional problems (2007)
Paul, Debashis, Bair, Eric, Hastie, Trevor, Tibshirani, Robert
We consider regression problems where the number of predictors greatly exceeds the number of observations. We propose a method for variable selection that first estimates the regression function,...
Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data (2004)
Procedures that utilize both gene expression data and clinical data to identify subtypes of cancer can provide more accurate prognoses.
Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data (2004)
An important goal of DNA microarray research is to develop tools to diagnose cancer more accurately based on the genetic profile of a tumor. There are several existing techniques in the literature...
Methods for predicting patient survival based on DNA microarray data / (2004)
Bair, Eric., Tibshirani, Robert Advisor
Submitted to the Department of Statistics.
Semi-Supervised Methods to Predict Patient (2003)
this paper concerns di#use large B-cell lymphoma (DLBCL). This is the most common type of lymphoma in adults, and it can only be treated by chemotherapy in approximately 40% of patients (Coi#er 2001;...
We propose a method for detecting dierential gene expression that makes use of the singular value decomposition of the matrix of expression values. It looks for biological variation that correlates...
Gene expression profiling identifies clinically relevant subtypes of prostate cancer
Lapointe, Jacques, Li, Chunde, Higgins, John P., Van De Rijn, Matt, Bair, Eric, Montgomery, Kelli, ...
Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation...
Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data
Bair, Eric, Tibshirani, Robert
An important goal of DNA microarray research is to develop tools to diagnose cancer more accurately based on the genetic profile of a tumor. There are several existing techniques in the literature...
Gene expression profiling identifies clinically relevant subtypes of prostate cancer
Lapointe, Jacques, Li, Chunde, Higgins, John P., Van De Rijn, Matt, Bair, Eric, Montgomery, Kelli, ...
Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation...
Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data
Bair, Eric, Tibshirani, Robert
An important goal of DNA microarray research is to develop tools to diagnose cancer more accurately based on the genetic profile of a tumor. There are several existing techniques in the literature...