Robin Duque

IEEE/ACM Transactions on Computational Biology & Bioinformatics · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Robin Duque trusts

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

  1. Emanuel Parzen (in Probabilistic & Bayesian Methods)

Papers from Robin Duque's perspective

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

  1. Singular value decomposition for genome-wide expression data processing and modeling. (Proceedings of the National Academy of Sciences of the United States of America)
  2. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  3. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. (Proceedings of the National Academy of Sciences of the United States of America)
  4. A direct approach to false discovery rates
  5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  6. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. (Biostatistics)
  7. Minimum redundancy feature selection from microarray gene expression data (Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003)
  8. Multiple Hypothesis Testing in Microarray Experiments
  9. Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
  10. Multiple-laboratory comparison of microarray platforms (Nature Methods)

Their papers