Richard Baumgartner
Bioinform. · 2003
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Richard Baumgartner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Richard Baumgartner's perspective
Ordered by how strongly the researchers Richard Baumgartner trusts endorse each paper. Same corpus, a different order for every researcher.
- Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
- Molecular classification of cutaneous malignant melanoma by gene expression profiling (Nature)
- An introduction to kernel-based learning algorithms
- Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. (Cancer Research)
- Prediction of central nervous system embryonal tumour outcome based on gene expression (Nature)
- On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics
- Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
- Gene-expression profiles in hereditary breast cancer. (New England Journal of Medicine)