Inferring biological networks with output kernel trees

Pierre Geurts; Nizar Touleimat; Marie Dutreix; Florence d’Alché–Buc

doi:10.1186/1471-2105-8-s2-s4

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Inferring biological networks with output kernel trees

Pierre Geurts Nizar Touleimat Marie Dutreix Florence d’Alché–Buc

Year: 2007 Journal: BMC Bioinformatics Vol: 8 (S2)Pages: S4-S4 Publisher: BioMed Central

DOI: 10.1186/1471-2105-8-s2-s4

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Abstract

Output kernel tree based methods provide an efficient tool for the inference of biological networks from experimental data. Their simplicity and interpretability should make them of great value for biologists.

Keywords:

Interpretability Computer science Biological network Inference Biological data Machine learning Robustness (evolution) Scalability Artificial intelligence Kernelization Gene regulatory network Data mining Kernel (algebra) Theoretical computer science Computational biology Graph Bioinformatics Biology Mathematics

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Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Microbial Metabolic Engineering and Bioproduction

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Inferring biological networks with output kernel trees

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