Amrit Singh

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amrit Singh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Robert Tibshirani
  2. Kim-Anh Lê Cao
  3. Danh V. Nguyen
  4. Jerome H. Friedman

Papers from Amrit Singh's perspective

Ordered by how strongly the researchers Amrit Singh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. Regularization Paths for Generalized Linear Models via Coordinate Descent
  3. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
  4. Tumor classification by partial least squares using microarray gene expression data (Bioinform.)
  5. The Degrees of Freedom of Partial Least Squares Regression
  6. Plankton networks driving carbon export in the oligotrophic ocean (Nature)
  7. CCA: An R Package to Extend Canonical Correlation Analysis
  8. Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems (BMC Bioinformatics)
  9. Random Forests
  10. Addendum: Regularization and variable selection via the elastic net

Their papers