P. Gromski

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 P. Gromski trusts overall

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

1. Warwick B. Dunn
2. David I. Ellis
3. Yuhai Wu
4. Chih-Jen Lin
5. Bradley Efron
6. David Broadhurst
7. C. Burges
8. Aixia Guo
9. Andrew P. Bradley
10. Royston Goodacre

Papers from P. Gromski's perspective

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

1. Random Forests
2. Support-Vector Networks
3. Statistical Learning Theory
4. Statistical strategies for avoiding false discoveries in metabolomics and related experiments (Metabolomics)
5. A Tutorial on Support Vector Machines for Pattern Recognition
6. Classification and Regression by randomForest
7. HMDB: the Human Metabolome Database (Nucleic Acids Res.)
8. Consistency of Random Forests and Other Averaging Classifiers
9. LIBSVM: A library for support vector machines
10. Metabolomics – the link between genotypes and phenotypes (Plant Molecular Biology)

Their papers

• A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. (2015) — 785 citations