A. Irrthum

Molecular Biology · 2004–2010

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom A. Irrthum trusts overall

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

  1. Nir Friedman
  2. Patrick E. Meyer
  3. Daniel Marbach
  4. Nicolai Meinshausen
  5. Atul J. Butte
  6. Pierre Geurts

Who trusts A. Irrthum overall

  1. Gilles Louppe
  2. Wenxu Wang
  3. Oscar Franzén
  4. Anne-Claire Haury
  5. Diviyan Kalainathan
  6. Hao Guo
  7. Sipko van Dam

Papers from A. Irrthum's perspective

Ordered by how strongly the researchers A. Irrthum 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. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements.
  3. High-dimensional graphs and variable selection with the Lasso
  4. Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods (J. Comput. Biol.)
  5. How to infer gene networks from expression profiles (Molecular Systems Biology)
  6. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
  7. Information-Theoretic Inference of Large Transcriptional Regulatory Networks (EURASIP J. Bioinform. Syst. Biol.)
  8. The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo (Genome Biology)
  9. Advances to Bayesian network inference for generating causal networks from observational biological data (Bioinform.)
  10. Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges (PLoS ONE)

Their papers