Simon M. Lin

Molecular Biology · Bioinform. · 2004–2019

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Simon M. Lin trusts overall

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

  1. Blythe Durbin
  2. David M. Rocke
  3. Benjamin M. Bolstad
  4. Pierre Baldi
  5. Rafael A. Irizarry
  6. Wolfgang Huber
  7. Matthew E. Ritchie
  8. Anthony D. Long
  9. Johanna S. Hardin
  10. Gerhard Lakemeyer

Who trusts Simon M. Lin overall

  1. Pan Du
  2. Jan P. Meier-Kolthoff
  3. Warren A. Kibbe
  4. Alexander F. Auch

Papers from Simon M. Lin's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. Variance stabilization applied to microarray data calibration and to the quantification of differential expression (Intelligent Systems in Molecular Biology)
  3. A Model for Measurement Error for Gene Expression Arrays (J. Comput. Biol.)
  4. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  5. Gentleman R: R: A language for data analysis and graphics
  6. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  7. Scikit-learn: Machine Learning in Python
  8. Gene Ontology: tool for the unification of biology
  9. DeepWalk: online learning of social representations
  10. ImageNet classification with deep convolutional neural networks

Their papers