Klaus Schliep
Molecular Biology · 2004–2018
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 5 citations into it
Whom Klaus Schliep trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Klaus Schliep overall
Papers from Klaus Schliep's perspective
Ordered by how strongly the researchers Klaus Schliep trusts endorse each paper. Same corpus, a different order for every researcher.
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
- Support vector machine classification and validation of cancer tissue samples using microarray expression data (Bioinform.)
- Nearest neighbor pattern classification
- Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties
- Diagnosis of multiple cancer types by shrunken centroids of gene expression
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- 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 Nature of Statistical Learning Theory
- Bagging Predictors
- Neural Networks for Pattern Recognition
Their papers
- Weighted k-Nearest-Neighbor Techniques and Ordinal Classification (2004) — 373 citations
- ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R (2018) — 7,814 citations
- Phylogenetic Analysis in R (2015) — 299 citations