Bryan C. Daniels
Molecular Biology · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 16 citations into it; #1,628 of 17,773 by trust here, #9,727 by citations
- Artificial Intelligence — 12 citations into it
- Genetics — 5 citations into it; #737 of 6,854 by trust here, #4,505 by citations
- Statistics and Probability — 5 citations into it
Whom Bryan C. Daniels trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Michael D. Schmidt
- Eric R. Ziegel
- James P. Crutchfield
- Ravishankar Rao Vallabhajosyula
- Bruce S. McNamara
- Ilya Nemenman
- Gabriele Lillacci
- Hod Lipson
- Jerry Jenkins
Who trusts Bryan C. Daniels overall
- Maizar Raissi
- Steven L. Brunton
- J. Nathan Kutz
- Tong Qin
- Joshua L. Proctor
- Enoch Yeung
- N. Mangan
- Ribana Roscher
- G. Em Karniadakis
- Paris Perdikaris
Papers from Bryan C. Daniels's perspective
Ordered by how strongly the researchers Bryan C. Daniels trusts endorse each paper. Same corpus, a different order for every researcher.
- Universally Sloppy Parameter Sensitivities in Systems Biology Models (PLoS Comput. Biol.)
- The Elements of Statistical Learning
- Bayesian Interpolation
- Phenotypic Diversity, Population Growth, and Information in Fluctuating Environments (Science)
- Stochastic gene expression and its consequences (Cell)
- Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression
- Automated refinement and inference of analytical models for metabolic networks
- Robustness and Evolvability in Living Systems
- Parameter estimation in biochemical pathways: a comparison of global optimization methods. (Genome Research)
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
Their papers
- Automated adaptive inference of phenomenological dynamical models (2015) — 208 citations
- Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression (2014) — 102 citations
- Sloppiness and Emergent Theories in Physics, Biology, and Beyond (2015) — 324 citations