Amy Lam

Molecular Biology · 2007

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

Subfields

Whom Amy Lam trusts overall

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

  1. Yann LeCun
  2. Eric Bair
  3. Robert Tibshirani

Papers from Amy Lam's perspective

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

  1. Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
  2. Pattern Recognition and Neural Networks
  3. Diagnosis of multiple cancer types by shrunken centroids of gene expression
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. (Nucleic Acids Research)
  8. Controlling the number of false discoveries: application to high-dimensional genomic data
  9. A Paradigm for Class Prediction Using Gene Expression Profiles (J. Comput. Biol.)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers