Michael E. Wall
Molecular Biology · 2003–2017
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 27 citations into it; #10,883 of 17,773 by trust here, #10,864 by citations
- Materials Chemistry — 12 citations into it
Whom Michael E. Wall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wolfram Liebermeister
- R. Grosse-Kunstleve
- Robert C. Edgar
- K. Y. Yeung
- John Besemer
- G. Winter
- I. Borg
- Tom Burnley
- Paul D. Adams
- William J. Bruno
Who trusts Michael E. Wall overall
- Yifeng Li
- Peter Bhlmann
- Weikuan Jia
- Roy Varshavsky
- Iqbal H. Sarker
- Huan Gui
- Paul A. Novick
- Petros Drineas
- Fang-Xiang Wu
- Meili Sun
Papers from Michael E. Wall's perspective
Ordered by how strongly the researchers Michael E. Wall trusts endorse each paper. Same corpus, a different order for every researcher.
- The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework
- MUSCLE: multiple sequence alignment with high accuracy and high throughput.
- Principal Component Analysis
- Singular value decomposition for genome-wide expression data processing and modeling. (Proceedings of the National Academy of Sciences of the United States of America)
- Resolution of phase ambiguity in macromolecular crystallography.
- Missing value estimation methods for DNA microarrays
- EVAL15: a diffraction data integration method based on ab initio predicted profiles
- Trace: Tennessee Research and Creative Exchange Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification Recommended Citation Prodigal: Prokaryotic Gene Recognition and…
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem
- Fundamental patterns underlying gene expression profiles: simplicity from complexity. (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Singular value decomposition and principal component analysis (2003) — 1,430 citations
- Genome Majority Vote Improves Gene Predictions (2011) — 17 citations
- Bringing diffuse X-ray scattering into focus (2017) — 24 citations
- Meeting Review: Diffuse X-Ray Scattering to Model Protein Motions (2014)