George C. Tseng

Molecular Biology · 2001–2012

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom George C. Tseng trusts overall

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

  1. Art B. Owen
  2. Daniel R. Rhodes
  3. John D. Storey
  4. Seon-Young Kim
  5. Robert Tibshirani
  6. H. Cooper
  7. A. Ramasamy
  8. Rafael A. Irizarry
  9. David J. Volsky
  10. Aravind Subramanian

Who trusts George C. Tseng overall

  1. Jianguo Xia
  2. Johan Rung
  3. Michael J. Buck
  4. Andrew W. Butler
  5. Jasmine Chong
  6. Alvis Brazma
  7. Erin E. Gill
  8. J. Lieb
  9. Y. H. Yang
  10. A. Wolfe

Papers from George C. Tseng's perspective

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

  1. Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
  2. Summaries of Affymetrix GeneChip probe level data. (Nucleic Acids Research)
  3. Diagnosis of multiple cancer types by shrunken centroids of gene expression
  4. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. (Proceedings of the National Academy of Sciences of the United States of America)
  5. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  6. Analysis of Variance for Gene Expression Microarray Data (J. Comput. Biol.)
  7. A module map showing conditional activity of expression modules in cancer (Nature Genetics)
  8. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
  9. Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. (Proceedings of the National Academy of Sciences of the United States of America)
  10. Gene-expression profiles predict survival of patients with lung adenocarcinoma (Nature Medicine)

Their papers