James R. Bradford

Molecular Biology · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom James R. Bradford trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. William S. J. Valdar
  3. Nello Cristianini
  4. Julie Dawn Thompson
  5. Stephen F. Altschul
  6. Kevin P. Murphy
  7. John Shawe-Taylor
  8. Sarah A. Teichmann
  9. Helen M. Berman
  10. Desmond G. Higgins

Who trusts James R. Bradford overall

  1. Benjamin A. Shoemaker
  2. Aleksey A. Porollo
  3. Bingding Huang
  4. James D. Watson
  5. Anna R. Panchenko
  6. Jaroslaw Meller
  7. M. Schroeder
  8. Roman A. Laskowski
  9. Daniel A. Braun
  10. H. Bui

Papers from James R. Bradford's perspective

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

  1. Statistical learning theory
  2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  3. The Protein Data Bank.
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
  7. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  10. Prediction of protein secondary structure and active sites using the alignment of homologous sequences.

Their papers