Opis

• Tytuł:
  e-LiSe--an online tool for finding needles in the '(Medline) haystack'.
• Twórca:
  Gladki, Arkadiusz;
  Siedlecki, Paweł;
  Kaczanowski, Szymon;
  Zielenkiewicz, Piotr
• Opis:
  UNLABELLED Using literature databases one can find not only known and true relations between processes but also less studied, non-obvious associations. The main problem with discovering such type of relevant biological information is 'selection'. The ability to distinguish between a true correlation (e.g. between different types of biological processes) and random chance that this correlation is statistically significant is crucial for any bio-medical research, literature mining being no exception. This problem is especially visible when searching for information which has not been studied and described in many publications. Therefore, a novel bio-linguistic statistical method is required, capable of 'selecting' true correlations, even when they are low-frequency associations. In this article, we present such statistical approach based on Z-score and implemented in a web-based application 'e-LiSe'. AVAILABILITY The software is available at http://miron.ibb.waw.pl/elise/
• Dostępność obiektu:
  Dostęp otwarty
• Data:
  2008.04.15
• Typ:
  Article;
  PeerReviewed
• Język:
  angielski
• Format:
  application/msword
• Relacja: http://eprints.ibb.waw.pl/1130 ;http://bioinformatics.oxfordjournals.org/content/24/8/1115.long
• Temat i słowa kluczowe:
  Q Science (General);
  QH301 Biology
• Identyfikator: http://eprints.ibb.waw.pl/1130/7/elise_preprint.doc ;
  Gladki, Arkadiusz and Siedlecki, Paweł and Kaczanowski, Szymon and Zielenkiewicz, Piotr (2008) e-LiSe--an online tool for finding needles in the '(Medline) haystack'. Bioinformatics (Oxford, England), 24 (8). pp. 1115-7. ISSN 1367-4811
• Dostawca danych:
  Repozytorium Instytutu Biochemii i Biofizyki Polskiej Akademii Nauk
• Czy mogę z tego obiektu skorzystać?:
  poproś o pozwolenie
• Rodzaj zawartości:
  pozostałe