query: Selecting genes that contribute the most to the principal components
positive_passages.docid: 26181
positive_passages.text: Using principal component analysis (PCA) for feature selection
negative_passages.docid: 15316
negative_passages.text: Measures of variable importance in random forests
negative_passages.docid: 3589
negative_passages.text: How to reverse PCA and reconstruct original variables from several principal components?
negative_passages.docid: 157122
negative_passages.text: How can factor-levels be automatically chosen in R to maximize the number of positive coefficients in a regression model?
negative_passages.docid: 55662
negative_passages.text: How to use principal components analysis to select variables for regression?
negative_passages.docid: 52047
negative_passages.text: How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
negative_passages.docid: 97591
negative_passages.text: Genes and Intelligence
negative_passages.docid: 25322
negative_passages.text: Regression in $p>n$ setting: how to choose regularization method (Lasso, PLS, PCR, ridge)?
negative_passages.docid: 53330
negative_passages.text: Lasso and statistical signficance of selected variables
negative_passages.docid: 76906
negative_passages.text: Penalized methods for categorical data: combining levels in a factor
negative_passages.docid: 96964
negative_passages.text: Model Selection: Logistic Regression
negative_passages.docid: 28657
negative_passages.text: Identifying genes from a list of genes
negative_passages.docid: 3013
negative_passages.text: Why does the Lasso provide Variable Selection?
negative_passages.docid: 64142
negative_passages.text: Use of circular predictors in linear regression
negative_passages.docid: 144918
negative_passages.text: Lasso features selection through Crossvalidation
negative_passages.docid: 77380
negative_passages.text: How to choose an optimal number of latent factors in non-negative matrix factorization?
negative_passages.docid: 93145
negative_passages.text: Can I add several additional variables to my principal component regression?