Bin Zhang
Molecular Biology · with Horvath · 2005–2008
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 18 citations into it; #980 of 17,773 by trust here, #3,866 by citations
- Artificial Intelligence — 5 citations into it; #15,271 of 35,345 by trust here, #12,761 by citations
- Statistics and Probability — 5 citations into it
Whom Bin Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bin Zhang overall
- Peter Langfelder
- Seyoung Kim
- Steve Horvath
- Neelroop Parikshak
- Johanna S. Hardin
- Ye Deng
- Eric P. Xing
- Rhonda L. Bacher
- Won-min Song
- Jeremy A. Miller
Papers from Bin Zhang's perspective
Ordered by how strongly the researchers Bin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- A prediction-based resampling method for estimating the number of clusters in a dataset (Genome Biology)
- The Elements of Statistical Learning
- Gene connectivity, function, and sequence conservation: predictions from modular yeast co-expression networks (BMC Genomics)
- Derivative Estimation and Testing in Generalized Additive Models
- Survival Analysis: Techniques for Censored and Truncated Data
- Hierarchical Organization of Modularity in Metabolic Networks (Science)
- Genomic expression programs in the response of yeast cells to environmental changes. (Molecular Biology of the Cell)
- Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae (Nature Genetics)
- Error and attack tolerance of complex networks
- A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules (Science)
Their papers
- A General Framework for Weighted Gene Co-Expression Network Analysis (2005) — 4,882 citations
- Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R (2008) — 1,920 citations