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  1. Article

    Open Access

    Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

    Byung-Jun Yoon, **aoning Qian, Tamer Kahveci, Ranadip Pal in BMC Bioinformatics (2019)

  2. Article

    Open Access

    Characterizing building blocks of resource constrained biological networks

    Identification of motifs–recurrent and statistically significant patterns–in biological networks is the key to understand the design principles, and to infer governing mechanisms of biological systems. This, h...

    Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci in BMC Bioinformatics (2019)

  3. Article

    Open Access

    Shortest path counting in probabilistic biological networks

    Biological regulatory networks, representing the interactions between genes and their products, control almost every biological activity in the cell. Shortest path search is critical to apprehend the structure...

    Yuanfang Ren, Ahmet Ay, Tamer Kahveci in BMC Bioinformatics (2018)

  4. Article

    Open Access

    ProMotE: an efficient algorithm for counting independent motifs in uncertain network topologies

    Identifying motifs in biological networks is essential in uncovering key functions served by these networks. Finding non-overlap** motif instances is however a computationally challenging task. The fact that...

    Yuanfang Ren, Aisharjya Sarkar, Tamer Kahveci in BMC Bioinformatics (2018)

  5. Article

    Open Access

    Counting motifs in dynamic networks

    A network motif is a sub-network that occurs frequently in a given network. Detection of such motifs is important since they uncover functions and local properties of the given biological network. Finding moti...

    Kingshuk Mukherjee, Md Mahmudul Hasan, Christina Boucher in BMC Systems Biology (2018)

  6. Article

    Open Access

    Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

    Byung-Jun Yoon, **aoning Qian, Tamer Kahveci, Ranadip Pal in BMC Bioinformatics (2018)

  7. Article

    Open Access

    Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

    Byung-Jun Yoon, **aoning Qian, Tamer Kahveci in BMC Bioinformatics (2017)

  8. Article

    Open Access

    Identification of large disjoint motifs in biological networks

    Biological networks provide great potential to understand how cells function. Network motifs, frequent topological patterns, are key structures through which biological networks operate. Finding motifs in biol...

    Rasha Elhesha, Tamer Kahveci in BMC Bioinformatics (2016)

  9. Article

    Open Access

    Identifying the topology of signaling networks from partial RNAi data

    Methods for inferring signaling networks using single gene knockdown RNAi experiments and reference networks have been proposed in recent years. These methods assume that RNAi information is available for all ...

    Yuanfang Ren, Qiyao Wang, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci in BMC Systems Biology (2016)

  10. Article

    Open Access

    Signal reachability facilitates characterization of probabilistic signaling networks

    Studying biological networks is of extreme importance in understanding cellular functions. These networks model interactions between molecules in each cell. A large volume of research has been done to uncover ...

    Haitham Gabr, Tamer Kahveci in BMC Bioinformatics (2015)

  11. Article

    Open Access

    Indexing a protein-protein interaction network expedites network alignment

    Network query problem aligns a small query network with an arbitrarily large target network. The complexity of this problem grows exponentially with the number of nodes in the query network if confidence in th...

    Md Mahmudul Hasan, Tamer Kahveci in BMC Bioinformatics (2015)

  12. Article

    Open Access

    Hierarchical decomposition of dynamically evolving regulatory networks

    Gene regulatory networks describe the interplay between genes and their products. These networks control almost every biological activity in the cell through interactions. The hierarchy of genes in these netwo...

    Ahmet Ay, Dihong Gong, Tamer Kahveci in BMC Bioinformatics (2015)

  13. Article

    Open Access

    A scalable method for discovering significant subnetworks

    Study of biological networks is an essential first step to understand the complex functions they govern in different organisms. The topology of interactions that define how biological networks operate is often...

    Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci in BMC Systems Biology (2013)

  14. Article

    Open Access

    A scalable method for identifying frequent subtrees in sets of large phylogenetic trees

    We consider the problem of finding the maximum frequent agreement subtrees (MFASTs) in a collection of phylogenetic trees. Existing methods for this problem often do not scale beyond datasets with around 100 t...

    Avinash Ramu, Tamer Kahveci, J Gordon Burleigh in BMC Bioinformatics (2012)

  15. Article

    Open Access

    HIDEN: Hierarchical decomposition of regulatory networks

    Transcription factors regulate numerous cellular processes by controlling the rate of production of each gene. The regulatory relations are modeled using transcriptional regulatory networks. Recent studies hav...

    Günhan Gülsoy, Nirmalya Bandhyopadhyay, Tamer Kahveci in BMC Bioinformatics (2012)

  16. Article

    Open Access

    Metabolic network alignment in large scale by network compression

    Metabolic network alignment is a system scale comparative analysis that discovers important similarities and differences across different metabolisms and organisms. Although the problem of aligning metabolic n...

    Ferhat Ay, Michael Dang, Tamer Kahveci in BMC Bioinformatics (2012)