S. Gerster

Molecular Biology · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Gerster trusts overall

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

  1. Robert Tibshirani
  2. Andy Liaw
  3. Sudhir Varma
  4. Johann A. Gagnon-Bartsch
  5. W. Johnson
  6. Richard M. Simon

Papers from S. Gerster's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Addendum: Regularization and variable selection via the elastic net
  3. Support-Vector Networks
  4. Bias in error estimation when using cross-validation for model selection (BMC Bioinformatics)
  5. Selection bias in gene extraction on the basis of microarray gene-expression data (Proceedings of the National Academy of Sciences of the United States of America)
  6. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository (Nucleic Acids Res.)
  7. Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
  8. Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
  9. Tackling the widespread and critical impact of batch effects in high-throughput data
  10. Using control genes to correct for unwanted variation in microarray data. (Biostatistics)

Their papers