David Broadhurst
Molecular Biology · 2007–2018
A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 131 citations into it; #2,412 of 17,773 by trust here, #4,586 by citations
- Statistics and Probability — 43 citations into it
- Spectroscopy — 41 citations into it; #198 of 1,674 by trust here, #267 by citations
- Artificial Intelligence — 19 citations into it
- Computational Theory and Mathematics — 16 citations into it; #3,827 of 12,182 by trust here, #2,489 by citations
- Genetics — 14 citations into it
- Information Systems — 6 citations into it
- Management Science and Operations Research — 6 citations into it
Whom David Broadhurst trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Storey
- James R. Schott
- Douglas G. Altman
- Bradley Efron
- Robert Tibshirani
- John P. A. Ioannidis
- James Franklin
- Halbert White
- Richard S. Judson
- Yoav Benjamini
Who trusts David Broadhurst overall
- David S. Wishart
- Bradley Worley
- P. Gromski
- Arnald Alonso
- E. Szymańska
- Royston Goodacre
- Warwick B. Dunn
- Yaniv Semel
- Robert Powers
- Jianguo Xia
Papers from David Broadhurst's perspective
Ordered by how strongly the researchers David Broadhurst trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- A direct approach to false discovery rates
- Metabolomics – the link between genotypes and phenotypes (Plant Molecular Biology)
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Statistical strategies for avoiding false discoveries in metabolomics and related experiments (Metabolomics)
- Why Most Published Research Findings Are False
- Missing value estimation methods for DNA microarrays
- Adaptive Control Processes: A Guided Tour
Their papers
- Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007) — 833 citations
- Proposed minimum reporting standards for data analysis in metabolomics (2007) — 435 citations
- Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum. (2009) — 715 citations
- Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry (2011) — 2,882 citations
- MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis (2012) — 1,162 citations
- Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy. (2011) — 789 citations
- The importance of experimental design and QC samples in large-scale and MS-driven untargeted metabolomic studies of humans. (2012) — 420 citations
- Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies (2018) — 709 citations