Ruiyan Luo
Molecular Biology · 2011
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Ruiyan Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nir Friedman
- B. Ellis
- Dana Pe'er
- David E. Heckerman
- Daphne Koller
- Wing Hung Wong
- Aviv Regev
- David Maxwell Chickering
- Juliane Schäfer
- Gal Elidan
Papers from Ruiyan Luo's perspective
Ordered by how strongly the researchers Ruiyan Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Inferring subnetworks from perturbed expression profiles (Intelligent Systems in Molecular Biology)
- Being Bayesian about Network Structure (Conference on Uncertainty in Artificial Intelligence)
- An empirical Bayes approach to inferring large-scale gene association networks (Bioinform.)
- Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
- Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data
- Learning Causal Bayesian Network Structures From Experimental Data
- The history and future of the fluorescence activated cell sorter and flow cytometry: a view from Stanford. (Clinical Chemistry)
- Sparse graphical models for exploring gene expression data
- Causal Discovery from a Mixture of Experimental and Observational Data
- Causality : Models , Reasoning , and Inference