Scott A. Becker

Molecular Biology · 2007–2018

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Scott A. Becker trusts overall

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

  1. Bernhard O. Palsson
  2. Rafael A. Irizarry
  3. Stephen S. Fong
  4. Nathan D. Price
  5. Jennie L. Reed
  6. Adam M. Feist
  7. Benjamin M. Bolstad
  8. Sorin Draghici
  9. Tanya Barrett
  10. Zhijin Wu

Who trusts Scott A. Becker overall

  1. Bernhard O. Palsson
  2. Sriram Chandrasekaran
  3. Maxime Durot
  4. Rasmus Agren
  5. Ines Thiele
  6. Daniel Machado
  7. Nathan E. Lewis
  8. Edward J. O'Brien
  9. Aarash Bordbar
  10. Jonathan M. Monk

Papers from Scott A. Becker's perspective

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

  1. NCBI GEO: mining tens of millions of expression profiles—database and tools update
  2. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
  3. Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes (Nature Genetics)
  4. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
  5. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  6. Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli (Molecular Systems Biology)
  7. Global reconstruction of the human metabolic network based on genomic and bibliomic data (Proceedings of the National Academy of Sciences of the United States of America)
  8. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information (Molecular Systems Biology)
  9. Global functional profiling of gene expression. (Genomics)
  10. Basic local alignment search tool.

Their papers