Bernard F. Buxton
Molecular Biology · 2001–2004
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 17 citations into it; #1,335 of 17,773 by trust here, #3,408 by citations
- Computational Biology & Bioinformatics — 14 citations into it
- Statistical Learning Theory — 7 citations into it
- Artificial Intelligence — 5 citations into it
Whom Bernard F. Buxton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- C. Burges
- Charles M. Bishop
- David C. Jones
- J. Ross Quinlan
- J. Platt
- Vladimir Naumovich Vapnik
- Alex Smola
- Trevor J. Hastie
- W. Kabsch
Who trusts Bernard F. Buxton overall
- Vladimir N Uversky
- Avner Schlessinger
- Fanchi Meng
- Zhiyong Wang
- Peter Tompa
- Zsuzsanna Dosztányi
- Zhenling Peng
- Lukasz Kurgan
- A. Keith Dunker
- A. Fink
Papers from Bernard F. Buxton's perspective
Ordered by how strongly the researchers Bernard F. Buxton trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical learning theory
- Prediction of protein secondary structure at better than 70% accuracy.
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- The Protein Data Bank.
- Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
- UCI Repository of machine learning databases
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
- Predicting intrinsic disorder from amino acid sequence (Proteins: Structure, Function, and Bioinformatics)
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- Twilight zone of protein sequence alignments.
Their papers
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life. (2004) — 2,019 citations
- The DISOPRED server for the prediction of protein disorder (2004) — 742 citations
- Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis (2001) — 656 citations
- Secondary structure prediction with support vector machines (2003) — 257 citations