Frédéric Lafitte
Molecular Biology · 2007–2008
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 11 citations into it; #4,238 of 17,773 by trust here, #12,227 by citations
- Artificial Intelligence — 9 citations into it
Whom Frédéric Lafitte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Atul J. Butte
- Liam Paninski
- James Dougherty
- Hanchuan Peng
- Adam A. Margolin
- Chris H. Q. Ding
- William N. Venables
- Juliane Schäfer
- Katia Basso
- Jeremiah J. Faith
Who trusts Frédéric Lafitte overall
Papers from Frédéric Lafitte's perspective
Ordered by how strongly the researchers Frédéric Lafitte trusts endorse each paper. Same corpus, a different order for every researcher.
- Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. (Proceedings of the National Academy of Sciences of the United States of America)
- Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements.
- Approximating discrete probability distributions with dependence trees
- Nonparametric entropy estimation. An overview
- Reverse engineering of regulatory networks in human B cells (Nature Genetics)
- Minimum redundancy feature selection from microarray gene expression data (Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003)
- ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (BMC Bioinformatics)
- Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
- Supervised and Unsupervised Discretization of Continuous Features
- Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data (BMC Bioinformatics)
Their papers
- Information-Theoretic Inference of Large Transcriptional Regulatory Networks (2007) — 462 citations
- minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information (2008) — 510 citations