Benoît Gautier

Molecular Biology · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benoît Gautier trusts overall

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

  1. Robert Tibshirani
  2. Kim-Anh Lê Cao
  3. Jerome H. Friedman
  4. Danh V. Nguyen
  5. Ignacio González
  6. Trevor J. Hastie
  7. Arthur Tenenhaus

Who trusts Benoît Gautier overall

  1. Dmitry Kobak

Papers from Benoît Gautier's perspective

Ordered by how strongly the researchers Benoît Gautier 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. mixOmics: An R package for ‘omics feature selection and multiple data integration (bioRxiv)
  10. Random Forests

Their papers