Browsing Forschungszentren by Author "5b585d1e-1480-45e3-80e6-7a48fcb2bde8"

Browsing Forschungszentren by Author "5b585d1e-1480-45e3-80e6-7a48fcb2bde8"

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  • A multitask transfer learning framework for the prediction of virus-human protein–protein interactions 
    Dong, Thi Ngan; Brogden, Graham; Gerold, Gisa; Khosla, Megha (London : BioMed Central, 2021)
    Background: Viral infections are causing significant morbidity and mortality worldwide. Understanding the interaction patterns between a particular virus and human proteins plays a crucial role in unveiling the underlying ...
  • Estimating PageRank deviations in crawled graphs 
    Holzmann, Helge; Anand, Avishek; Khosla, Megha (Heidelberg : Springer, 2019)
    Most real-world graphs collected from the Web like Web graphs and social network graphs are partially discovered or crawled. This leads to inaccurate estimates of graph properties based on link analysis such as PageRank. ...
  • Graph learning-based generation of abstractions for reinforcement learning 
    Xue, Yuan; Kudenko, Daniel; Khosla, Megha (London : Springer, 2023)
    The application of reinforcement learning (RL) algorithms is often hindered by the combinatorial explosion of the state space. Previous works have leveraged abstractions which condense large state spaces to find tractable ...
  • A message passing framework with multiple data integration for miRNA-disease association prediction 
    Dong, Thi Ngan; Schrader, Johanna; Mücke, Stefanie; Khosla, Megha ([London] : Macmillan Publishers Limited, part of Springer Nature, 2022)
    Micro RNA or miRNA is a highly conserved class of non-coding RNA that plays an important role in many diseases. Identifying miRNA-disease associations can pave the way for better clinical diagnosis and finding potential ...

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