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Martin Reczko: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Karol Szafranski, Molly Megraw, Martin Reczko, Artemis G. Hatzigeorgiou
    Support Vector Machines for Predicting microRNA Hairpins. [Citation Graph (0, 0)][DBLP]
    BIOCOMP, 2006, pp:270-276 [Conf]
  2. Niels Mache, Paul Levi, Artemis G. Hatzigeorgiou, Martin Reczko
    Detection of Eukaryotic POL II Promoters with Multi-State Time-Delay Neural Networks. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1996, pp:264-267 [Conf]
  3. Dimitris A. Karras, Martin Reczko, Basil G. Mertzios, D. Graveron-Demilly, D. van Ormondt
    MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:336-341 [Conf]
  4. Janet Grassmann, Martin Reczko, Sándor Suhai, Lutz Edler
    Protein Fold Class Prediction: New Methods of Statistical Classification. [Citation Graph (0, 0)][DBLP]
    ISMB, 1999, pp:106-112 [Conf]
  5. Adam Arvelakis, Martin Reczko, Alexandros Stamatakis, Alkiviadis Symeonidis, Ioannis G. Tollis
    Using Treemaps to Visualize Phylogenetic Trees. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2005, pp:283-293 [Conf]
  6. Alkiviadis Symeonidis, Ioannis G. Tollis, Martin Reczko
    Visualization of Functional Aspects of microRNA Regulatory Networks Using the Gene Ontology. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2006, pp:13-24 [Conf]
  7. Martin Reczko, Dimitris A. Karras, V. Mertzios, D. Graveron-Demilly, D. van Ormondt
    Neural Networks in MR Image Estimation from Sparsely Sampled Scans. [Citation Graph (0, 0)][DBLP]
    MLDM, 1999, pp:75-86 [Conf]
  8. Martin Reczko, Petko Fiziev, Eike Staub, Artemis G. Hatzigeorgiou
    Finding Signal Peptides in Human Protein Sequences Using Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    WABI, 2002, pp:60-67 [Conf]
  9. Artemis G. Hatzigeorgiou, Petko Fiziev, Martin Reczko
    DIANA-EST: a statistical analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:10, pp:913-919 [Journal]
  10. Martin Reczko, Artemis G. Hatzigeorgiou, Niels Mache, Andreas Zell, Sándor Suhai
    A parallel neural network simulator on the connection machine CM-5. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1995, v:11, n:3, pp:309-315 [Journal]
  11. Christian Derst, Martin Reczko, Artemis G. Hatzigeorgiou
    Prediction of human transnational initiation sites using a multiple neural network approach. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2000, v:1, n:2, pp:169-179 [Journal]
  12. Martin Reczko, Dimitris A. Karras, Henrik Bohr
    An update of the DEF database of protein fold class predictions. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1997, v:25, n:1, pp:235- [Journal]
  13. Martin Reczko, Dimitris A. Karras, Basil G. Mertzios, D. Graveron-Demilly, D. van Ormondt
    Improved MR image reconstruction from sparsely sampled scans based on neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:1, pp:35-46 [Journal]
  14. Trias Thireou, Martin Reczko
    Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:3, pp:441-446 [Journal]

  15. The benefit of cooperation: Identifying growth-efficient interacting strains of Escherichia coli using metabolic flux balance models. [Citation Graph (, )][DBLP]

  16. DIANA-mirPath: Integrating human and mouse microRNAs in pathways. [Citation Graph (, )][DBLP]

  17. Lost in translation: an assessment and perspective for computational microRNA target identification. [Citation Graph (, )][DBLP]

  18. Accurate microRNA target prediction correlates with protein repression levels. [Citation Graph (, )][DBLP]

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