Arnaud Droit

Molecular Biology · 2021

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 Arnaud Droit trusts

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

  1. Markus Ringnér (in Molecular Biology)
  2. Eric J. Beh (in Food Science)
  3. Ingo Steinwart (in Statistical Learning Theory)

Papers from Arnaud Droit's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis (Bioinform.)
  3. Learning the Kernel Matrix with Semidefinite Programming
  4. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
  5. Methods of integrating data to uncover genotype–phenotype interactions (Nature reviews genetics)
  6. Sparse Principal Component Analysis
  7. Support vector machines
  8. Discovery of multi-dimensional modules by integrative analysis of cancer genomic data (Nucleic Acids Research)
  9. Multiple Kernel Learning Algorithms
  10. Modeling polypharmacy side effects with graph convolutional networks

Their papers