Blar i Institutt for datateknologi og informatikk på tidsskrift "BMC Bioinformatics"

Viser treff 1-9 av 9

    • A two-step site and mRNA-level model for predicting microRNA targets 

      Saito, Takaya; Sætrom, Pål (Journal article; Peer reviewed, 2010)
      Background: Despite experiments showing that the number of microRNA (miRNA) target sites is critical for miRNA targeting, most existing methods focus on identifying individual miRNA target sites and do not model contributions ...

    • Assessment of composite motif discovery methods 

      Klepper, Kjetil; Sandve, Geir Kjetil; Abul, Osman; Johansen, Jostein; Drabløs, Finn (Journal article; Peer reviewed, 2008)
      Background: Computational discovery of regulatory elements is an important area of bioinformatics research and more than a hundred motif discovery methods have been published. Traditionally, most of these methods have ...

    • BioCreative III interactive task: an overview 

      Arighi, Cecilia N; Roberts, Phoebe M; Shashank, Agarwal; Bhattacharya, Sanmitra; Gianni, Cesareni; Chatr-aryamontri, Andrew; Clematide, Simon; Gaudet, Pascale; Giglio, Michelle Gwinn; Harrow, Ian; Huala, Eva; Krallinger, Martin; Leser, Ulf; Li, Donghui; Liu, Feifan; Lu, Zhlyong; Maltais, Lois J; Okazaki, Naoaki; Perfetto, Livia; Rinaldi, Fabio; Sætre, Rune; Salgado, David; Srinivasan, Padmini; Thomas, Philippe E; Toldo, Luca; Hirschman, Lynette; Wu, Cathy H. (Journal article; Peer reviewed, 2011)
      Background: The BioCreative challenge evaluation is a community-wide effort for evaluating text mining and information extraction systems applied to the biological domain. The biocurator community, as an active user of ...

    • Improved benchmarks for computational motif discovery 

      Sandve, Geir Kjetil; Abul, Osman; Walseng, Vegard; Drabløs, Finn (Journal article; Peer reviewed, 2007-06-08)
      Background An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods have been proposed, and it is difficult ...

    • Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation 

      Smith, DD; Sætrom, Pål; Snøve, Ola; Lundberg, C; Rivas, GE; Glackin, C; Larson, GP (Journal article; Peer reviewed, 2008)
      Background: Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good prognosis, and identify patients likely ...

    • Motif kernel generated by genetic programming improves remote homology and fold detection 

      Håndstad, Tony; Hestnes, Arne Johan Husebø; Sætrom, Pål (Journal article; Peer reviewed, 2007)
      Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and unrelated sequences and these studies ...

    • Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework 

      Mohammad, Awwab; Siddiqui, Farheen; Alam, M. Afshar; Sheikh, Mohammad Idrees (Peer reviewed; Journal article, 2023)
      The commercial adoption of BCI technologies for both clinical and non-clinical applications is drawing scientists to the creation of wearable devices for daily living. Emotions are essential to human existence and have a ...

    • U-Compare bio-event meta-service: compatible BioNLP event extraction services 

      Kano, Yoshinobu; Björne, Jari; Ginter, Filip; Salakoski, Tapio; Buyko, Ekaterina; Hahn, Udo; Cohen, Kevin Bretonnel; Verspoor, Karin; Roeder, Christophe; Hunter, Lawrence E.; Kilicoglu, Halil; Bergler, Sabine; Van Landeghem, Sofie; Van Parys, Thomas; Van de Peer, Yves; Miwa, Makoto; Ananiadou, Sophia; Neves, Mariana; Pascual-Montano, Alberto; Ozgur, Arzucan; Radev, Dragomir R.; Riedel, Sebastian; Sætre, Rune; Chun, Hong-Woo; Kim, Jin-Dong; Pyysalo, Sampo; Ohta, Tomoko; Tsujii, Jun'ichi (Journal article; Peer reviewed, 2011)
      Background: Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While ...

    • Using neural networks to support high-quality evidence mapping 

      Røst, Thomas Brox; Slaughter, Laura; Nytrø, Øystein; Muller, Ashley Elizabeth; Vist, Gunn Elisabeth (Peer reviewed; Journal article, 2021)
      Abstract Background: The Living Evidence Map Project at the Norwegian Institute of Public Health (NIPH) gives an updated overview of research results and publications. As part of NIPH’s mandate to inform evidence-based ...