@article{724778,
      recid = {724778},
      author = {Will, Thorsten,},
      title = {Predicting transcription factor complexes a novel approach  to data integration in systems biology / [electronic  resource] :},
      pages = {1 online resource :},
      abstract = {In his master thesis Thorsten Will proposes the  substantial information content of protein complexes  involving transcription factors in the context of gene  regulatory networks, designs the first computational  approaches to predict such complexes as well as their  regulatory function and verifies the practicability using  data of the well-studied yeast S.cereviseae. The novel  insights offer extensive capabilities towards a better  understanding of the combinatorial control driving  transcriptional regulation. Contents Protein Complex  Prediction Protein-Protein Interaction Networks  Domain-Domain Interaction Networks Combinatorial Algorithms  Algorithm Engineering Target Groups Computational  biologists and biologists working with gene regulatory  networks Computer scientists interested in biological  issues The Author Currently, the author is pursuing his  Ph.D. at the Center for Bioinformatics in Saarbrücken,  Germany.},
      url = {http://library.usi.edu/record/724778},
      doi = {https://doi.org/10.1007/978-3-658-08269-7},
}