Maqc Consortium

Molecular Biology · 2006

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Maqc Consortium trusts overall

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

  1. Danielle Thierry-Mieg
  2. Rafael A. Irizarry
  3. Kim D. Pruitt
  4. Jean Thierry-Mieg
  5. Tatiana A. Tatusova
  6. Zhijin Wu
  7. Donna R. Maglott
  8. Harris A. Jaffee

Who trusts Maqc Consortium overall

  1. Bo Li
  2. Kasper D. Hansen
  3. Sarah Nogueira
  4. Adam Roberts
  5. Franck Rapaport
  6. A. Derti
  7. P. '. ’t Hoen
  8. Colin N. Dewey
  9. Guanghui Hu
  10. Rafael A. Irizarry

Papers from Maqc Consortium's perspective

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

  1. NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins (Nucleic Acids Res.)
  2. Evaluation of DNA microarray results with quantitative gene expression platforms (Nature Biotechnology)
  3. Prediction of cancer outcome with microarrays: a multiple random validation strategy. (The Lancet)
  4. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. (Proceedings of the National Academy of Sciences of the United States of America)
  5. AceView: a comprehensive cDNA-supported gene and transcripts annotation (Genome Biology)
  6. Comparison of Affymetrix GeneChip expression measures (Bioinform.)
  7. A Greedy Algorithm for Aligning DNA Sequences (J. Comput. Biol.)
  8. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. (Journal of the National Cancer Institute)
  9. Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. (New England Journal of Medicine)
  10. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. (Blood)

Their papers