D. Hayes

Molecular Biology · Cell · 2004–2018

A researcher in the Science corpus: 33 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom D. Hayes trusts overall

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

  1. David Ruppert
  2. Robert Tibshirani
  3. P. Deb
  4. Yoav Benjamini
  5. Stefano Monti
  6. Wei Pan
  7. Pablo Tamayo

Who trusts D. Hayes overall

  1. Katherine A. Hoadley
  2. Xiaojing Yang
  3. Dan Yang
  4. Jie Tan

Papers from D. Hayes's perspective

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

  1. Estimating the number of clusters in a dataset via the gap statistic
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses (Proceedings of the National Academy of Sciences of the United States of America)
  4. Addendum: Regularization and variable selection via the elastic net
  5. Malignant astrocytic glioma: genetics, biology, and paths to treatment. (Genes & Development)
  6. A prediction-based resampling method for estimating the number of clusters in a dataset (Genome Biology)
  7. Cluster Validation by Prediction Strength
  8. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
  9. Finite Mixture Models
  10. Penalized Model-Based Clustering with Application to Variable Selection (Journal of machine learning research)

Their papers