Thomas Schaffter

Molecular Biology · 2009–2021

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Schaffter trusts overall

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

  1. Nir Friedman
  2. Mark Newman
  3. Ron Milo
  4. S. Shen-Orr
  5. Uri Alon
  6. David Angeli
  7. Katia Basso

Who trusts Thomas Schaffter overall

  1. Daniel Marbach
  2. Preetam Nandy
  3. Chris J. Oates
  4. Robert J. Prill
  5. Vân Anh Huynh-Thu
  6. Alain Hauser
  7. Shizhe Chen
  8. Antti Hyttinen
  9. Matthew James Vowels
  10. Marloes H. Maathuis

Papers from Thomas Schaffter's perspective

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

  1. Network motifs: simple building blocks of complex networks.
  2. Network motifs in the transcriptional regulation network of Escherichia coli (Nature Genetics)
  3. Reverse engineering of regulatory networks in human B cells (Nature Genetics)
  4. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
  5. ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (BMC Bioinformatics)
  6. Superfamilies of Evolved and Designed Networks (Science)
  7. Untangling the wires: A strategy to trace functional interactions in signaling and gene networks (Proceedings of the National Academy of Sciences of the United States of America)
  8. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  9. How to infer gene networks from expression profiles (Molecular Systems Biology)
  10. Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods (J. Comput. Biol.)

Their papers