Mukesh Bansal

Molecular Biology · 2005–2014

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mukesh Bansal trusts overall

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

  1. Jesper N. Tegnér
  2. Jing Yu
  3. Douglas C. Montgomery
  4. D. di Bernardo
  5. Bobby-Joe Breitkreutz
  6. Barrett C. Foat
  7. V. Anne Smith
  8. Nir Friedman
  9. Paul T. Shannon
  10. James J. Collins

Who trusts Mukesh Bansal overall

  1. Nicolas Le Novère
  2. Guy Karlebach
  3. Sriram Chandrasekaran
  4. Thalia E. Chan
  5. Yifei Chen
  6. Irene Cantone
  7. J. Sáez-Rodríguez
  8. Ron Shamir
  9. Richard P. I. Lewis
  10. Chris J. Oates

Papers from Mukesh Bansal's perspective

Ordered by how strongly the researchers Mukesh Bansal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
  2. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
  3. Modeling and Simulation of Genetic Regulatory Systems: A Literature Review (J. Comput. Biol.)
  4. Cytoscape: a software environment for integrated models of biomolecular interaction networks.
  5. Osprey: a network visualization system (Genome Biology)
  6. The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo (Genome Biology)
  7. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
  8. A Practical Guide to Splines
  9. KEGG for representation and analysis of molecular networks involving diseases and drugs (Nucleic Acids Res.)
  10. How to infer gene networks from expression profiles (Molecular Systems Biology)

Their papers