Now showing items 1-10 of 10

    • Compositional Mining of Multi-Relational Biological Datasets 

      Jin, Ying; Murali, T. M.; Ramakrishnan, Naren (Department of Computer Science, Virginia Polytechnic Institute & State University, 2007-08-01), TR-07-29
      High-throughput biological screens are yielding ever-growing streams of information about multiple aspects of cellular activity. As more and more categories of datasets come online, there is a corresponding multitude of ...
    • Connecting the Dots between PubMed Abstracts 

      Hossain, M. Shahriar; Gresock, Joseph; Edmonds, Yvette; Helm, Richard; Potts, Malcolm; Ramakrishnan, Naren (PLOS, 2012-01-03)
      Background There are now a multitude of articles published in a diversity of journals providing information about genes, proteins, pathways, and diseases. Each article investigates subsets of a biological process, but ...
    • CTRnet Final Report 

      Fox, Edward A.; Shoemaker, Donald J.; Sheetz, Steven D.; Kavanaugh, Andrea L.; Ramakrishnan, Naren (2013-08-26)
      The CTRnet project team has been developing a digital library including many webpage archives and tweet archives related to disasters, in collaboration with the Internet Archive. The goals of the CTRnet project are to ...
    • Describing the Relationship between Cat Bites and Human Depression Using Data from an Electronic Health Record 

      Hanauer, David A.; Ramakrishnan, Naren; Seyfried, Lisa S. (PLOS, 2013-08-01)
      Data mining approaches have been increasingly applied to the electronic health record and have led to the discovery of numerous clinical associations. Recent data mining studies have suggested a potential association between ...
    • Learning probabilistic models of connectivity from multiple spike train data 

      Patnaik, Debprakash; Laxman, Srivatsan; Ramakrishnan, Naren (2010-07-20)
      Neuronal circuits or cell assemblies carry out brain function through complex coordinated firing patterns [1]. Inferring topology of neuronal circuits from simultaneously recorded spike train data is a challenging problem ...
    • Mining Novellas from PubMed Abstracts using a Storytelling Algorithm 

      Gresock, Joseph; Kumar, Deept; Helm, Richard; Potts, Malcolm; Ramakrishnan, Naren (Department of Computer Science, Virginia Polytechnic Institute & State University, 2007), TR-07-08
      Motivation: There are now a multitude of articles published in a diversity of journals providing information about genes, proteins, pathways, and entire processes. Each article investigates particular subsets of a biological ...
    • NSF 2nd Year Report: CTRnet: Integrated Digital Library Support for Crisis, Tragedy, and Recovery 

      Fox, Edward A.; Shoemaker, Donald J.; Sheetz, Steven D.; Kavanaugh, Andrea L.; Ramakrishnan, Naren (2011-07-01)
      One of the important parts of this project is to collect and archive as much information as possible about various events that are related to crises, tragedies, and recovery (CTR). In order to do long-term archiving of ...
    • NSF 3rd Year Report: CTRnet: Integrated Digital Library Support for Crisis, Tragedy, and Recovery 

      Fox, Edward A.; Shoemaker, Donald J.; Sheetz, Steven D.; Kavanaugh, Andrea L.; Ramakrishnan, Naren (2012-07-01)
      The Crisis, Tragedy and Recovery (CTR) network, or CTRnet, is a human and digital library network for providing a range of services relating to different kinds of tragic events, including broad collaborative studies related ...
    • NSF Year 1 Report for CTRnet: Integrated Digital Library Support for Crisis, Tragedy, and Recovery 

      Fox, Edward A.; Shoemaker, Donald J.; Sheetz, Steven D.; Kavanaugh, Andrea L.; Ramakrishnan, Naren (2010-07-08)
      The Crisis, Tragedy and Recovery network, or CTRnet, is a human and digital library network for providing a range of services relating to different kinds of tragic events. Through this digital library, we will collect and ...
    • Spatio-Temporal Storytelling on Twitter 

      Dos Santos Jr, Raimundo F.; Shah, Sumit; Chen, Feng; Boedihardjo, Arnold P.; Butler, Patrick; Lu, Chang-Tien; Ramakrishnan, Naren (Department of Computer Science, Virginia Polytechnic Institute & State University, 2013-12-16), TR-13-06
      Social media, e.g.,Twitter, have provided us an unprecedented opportunity to observe events un-folding in real-time. The rapid pace at which situations play out on social media necessitates new tools for capturing and ...