Frederick Klauschen

Artificial Intelligence · Annals of Oncology · 2012–2018

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frederick Klauschen trusts overall

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

  1. Friedrich Leisch
  2. Neil Perkins

Papers from Frederick Klauschen's perspective

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

  1. FlexMix: A general framework for finite mixture models and latent class regression in R
  2. Reporting recommendations for tumor marker prognostic studies. (Journal of Clinical Oncology)
  3. NCBI GEO: archive for functional genomics data sets—10 years on (Nucleic Acids Res.)
  4. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients (Breast Cancer Research and Treatment)
  5. A gene-expression signature as a predictor of survival in breast cancer. (New England Journal of Medicine)
  6. Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome (Science)
  7. Categorizing a prognostic variable: review of methods, code for easy implementation and applications to decision-making about cancer treatments. (Statistics in Medicine)
  8. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. (American Journal of Epidemiology)
  9. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository (Nucleic Acids Res.)
  10. Use of archived specimens in evaluation of prognostic and predictive biomarkers. (Journal of the National Cancer Institute)

Their papers