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Yoshihiro Yamanishi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa
    Protein network inference from multiple genomic data: a supervised approach. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:363-370 [Conf]
  2. Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa
    Supervised enzyme network inference from the integration of genomic data and chemical information. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2005, pp:468-477 [Conf]
  3. Yoshihiro Yamanishi, Jean-Philippe Vert, A. Nakaya, Minoru Kanehisa
    Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2003, pp:323-330 [Conf]
  4. Jean-Philippe Vert, Yoshihiro Yamanishi
    Supervised Graph Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  5. Tetsuya Sato, Yoshihiro Yamanishi, Minoru Kanehisa, Hiroyuki Toh
    The inference of protein-protein interactions by co-evolutionary analysis is improved by excluding the information about the phylogenetic relationships. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:17, pp:3482-3489 [Journal]
  6. Tetsuya Sato, Yoshihiro Yamanishi, Katsuhisa Horimoto, Minoru Kanehisa, Hiroyuki Toh
    Partial correlation coefficient between distance matrices as a new indicator of protein-protein interactions. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:20, pp:2488-2492 [Journal]
  7. Tetsuya Sato, Yoshihiro Yamanishi, Katsuhisa Horimoto, Minoru Kanehisa, Hiroyuki Toh
    Inference of Protein-Protein Interactions by Using Co-evolutionary Information. [Citation Graph (0, 0)][DBLP]
    AB, 2007, pp:322-333 [Conf]
  8. Yoshihiro Yamanishi, Francis Bach, Jean-Philippe Vert
    Glycan classification with tree kernels. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:10, pp:1211-1216 [Journal]

  9. Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. [Citation Graph (, )][DBLP]

  10. Supervised Bipartite Graph Inference. [Citation Graph (, )][DBLP]

  11. On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. [Citation Graph (, )][DBLP]

  12. Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. [Citation Graph (, )][DBLP]

  13. E-zyme: predicting potential EC numbers from the chemical transformation pattern of substrate-product pairs. [Citation Graph (, )][DBLP]

  14. Supervised prediction of drug-target interactions using bipartite local models. [Citation Graph (, )][DBLP]

  15. Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. [Citation Graph (, )][DBLP]

  16. Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework. [Citation Graph (, )][DBLP]

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