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  • Book
    edited by Jason McDermott ... [et al.].
    Contents:
    Part 1. Network components
    1. Identification of cis-regulatory elements in gene co-expression networks using A-GLAM / Leonardo Mariño-Ramírez ... [et al.]
    2. Structure-based Ab initio prediction of transcription factor-binding sites / L. Angela Liu and Joel S. Bader
    3. Inferring protein-protein interactions from multiple protein domain combinations / Simon P. Kanaan ... [et al.]
    4. Prediction of protein-protein interactions: a study of the co-evolution model / Itai Sharon, Jason V. Davis, and Golan Yona
    5. Computational reconstruction of protein-protein interaction networks: algorithms and issues / Eric Franzosa, Bolan Linghu, and Yu Xia
    6. Prediction and integration of regulatory and protein-protein interactions / Duangdao Wichadakul, Jason McDermott, and Ram Samudrala
    7. Detecting hierarchical modularity in biological networks / Erzsebet Ravasz
    Part 2. Network inference
    8. Methods to reconstruct and compare transcriptional regulatory networks / M. Madan Babu, Benjamin Lang, and L. Aravind
    9. Learning global models of transcriptional regulatory networks from data / Aviv Madar and Richard Bonneau
    10. Inferring molecular interactions pathways from eQTL data / Imran Rashid, Jason McDermott, and Ram Samudrala
    11. Methods for the inference of biological pathways and networks / Roger E. Bumgarner and Ka Yee Yeung
    Part 3. Network dynamics
    12. Exploring pathways from gene co-expression to network dynamics / Huai Li, Yu Sun, and Ming Zhan
    13. Network dynamics / Herbert M. Sauro
    14. Kinetic modeling of biological systems / Haluk Resat, Linda Petzold, and Michel F. Pettigrew
    15. Guidance for data collection and computational modelling of regulatory networks / Adam Christopher Palmer, and Keith Edward Shearwin
    Part 4. Function and evolutionary systems biology
    16. Maximum likelihood method for reconstruction of the evolution of eukaryotic gene structure / Liran Carmel, ... [et al.]
    17. Enzyme function prediction with interpretable models / Umar Syed and Golan Yona
    18. Using evolutionary information to find specificity-determining and co-evolving residues / Grigory Kolesov and Leonid A. Mirny
    19. Connecting protein interaction data, mutations, and disease using bioinformatics / Jake Y. Chen, Eunseog Youn, and Sean D. Mooney
    20. Effects of functional bias on supervised learning of a gene network model / Insuk Lee and Edward M. Marcotte
    Part 5. Computational infrastructure for systems biology
    21. Comparing algorithms for clustering of expression data: how to assess gene clusters / Golan Yona, William Dirks, and Shafquat Rahman
    22. Bioverse API and web application / Michal Guerquin ... [et al.]
    23. Computational representation of biological systems / Zach Frazier ... [et al.]
    24. Biological network inference and analysis using SEBINI and CABIN / Ronald Taylor and Mudita Singhal.
    Digital Access Springer 2009
  • Article
    Ancowitz A.
    N Y State J Med. 1979 Jul;79(8):1320, 1322.
    Digital Access Access Options