Andrew Patt

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Patt trusts overall

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

  1. Robert Tibshirani
  2. Teuvo Kohonen
  3. Gordon K. Smyth
  4. Dana H. Ballard
  5. Peter J. Rousseeuw
  6. Andrew P. Bradley

Papers from Andrew Patt's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. Regression Shrinkage and Selection via the Lasso
  4. Learning representations by back-propagating errors
  5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  6. Visualizing Data using t-SNE
  7. A training algorithm for optimal margin classifiers
  8. Estimating the Dimension of a Model
  9. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  10. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Their papers