Michael L. Turner
Molecular Biology · 2015
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 33 citations into it
- Statistics and Probability — 12 citations into it
- Artificial Intelligence — 11 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Michael L. Turner trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin (in Computer Vision and Pattern Recognition)
- David I. Ellis (in Molecular Biology)
- Yuhai Wu (in Artificial Intelligence)
- Bradley Efron (in Statistics and Probability)
- C. Burges (in Statistical Learning Theory)
- Andrew P. Bradley (in Evaluation & Benchmarks)
- Aixia Guo (in Computational Biology & Bioinformatics)
- Royston Goodacre (in Molecular Biology)
- Warwick B. Dunn (in Molecular Biology)
Papers from Michael L. Turner's perspective
Ordered by how strongly the researchers Michael L. Turner trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Statistical strategies for avoiding false discoveries in metabolomics and related experiments (Metabolomics)
- Statistical Learning Theory
- Support-Vector Networks
- Classification and Regression by randomForest
- A Tutorial on Support Vector Machines for Pattern Recognition
- HMDB: the Human Metabolome Database (Nucleic Acids Res.)
- Consistency of Random Forests and Other Averaging Classifiers
- Analysis of a Random Forests Model
- Metabolomics – the link between genotypes and phenotypes (Plant Molecular Biology)