Gabriel E. Hoffman

Molecular Biology · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel E. Hoffman trusts overall

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

  1. Gordon K. Smyth
  2. Michael I. Love
  3. Benilton S. Carvalho
  4. Michael I. Jordan
  5. Yang Liao
  6. Charlotte Soneson
  7. Radford M. Neal
  8. Charity W. Law
  9. Davide Risso
  10. Michael Olivier

Who trusts Gabriel E. Hoffman overall

  1. Peter Carbonetto
  2. Matthew Stephens
  3. Anil Raj
  4. Xiaoping Zhou
  5. Peter Hall

Papers from Gabriel E. Hoffman's perspective

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

  1. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  2. Pattern Recognition and Machine Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Generalized Linear Models
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  7. Gradient-based learning applied to document recognition
  8. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  9. Regression Shrinkage and Selection via the Lasso
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers