Zhong-Liang Wang

Molecular Biology · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhong-Liang Wang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Steve Horvath (in Molecular Biology)
  2. Mark Newman (in Statistical and Nonlinear Physics)

Papers from Zhong-Liang Wang's perspective

Ordered by how strongly the researchers Zhong-Liang Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Eigengene networks for studying the relationships between co-expression modules (BMC Systems Biology)
  2. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  3. Geometric Interpretation of Gene Coexpression Network Analysis (PLoS Comput. Biol.)
  4. Reverse engineering gene networks using singular value decomposition and robust regression (Proceedings of the National Academy of Sciences of the United States of America)
  5. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  6. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
  7. Network biology: understanding the cell's functional organization
  8. The modularity of pollination networks (Proceedings of the National Academy of Sciences of the United States of America)
  9. Microbial interactions: from networks to models (Nature Reviews Microbiology)
  10. Phylogenetic Molecular Ecological Network of Soil Microbial Communities in Response to Elevated CO2 (mBio)

Their papers