ライフサイエンスコーパス: information retrieval

1 uccessful in large optimization problems for information retrieval.

2 classification is proposed to aid biomedical information retrieval.

3 DCG), a common measure for the usefulness of information retrieval.

4 comprehend form and to facilitate convenient information retrieval.

5 y and difficult process and assuring optimal information retrieval.

6 mportant tasks in biomedical text mining and information retrieval.

7 t was induced selectively by an influence on information retrieval.

8 output formats and the tasks they fulfil in information-retrieval activities.

9 part of the Gene Ontology database into our information retrieval algorithms to broaden the coverage

10 Our system also applies information retrieval algorithms to discover knowledge o

11 e is a need for a comprehensive database and information retrieval and analysis system that will prov

12 to quality patient care rounds include poor information retrieval and documentation, interruptions,

13 ne of the known names for a gene or protein, information retrieval and extraction would benefit from

14 rs indexing algorithms and adversely affects information retrieval and extraction.

15 data mining and sequence analysis tools for information retrieval and functional identification of p

16 a analysis tools to underlying databases for information retrieval and knowledge discovery, with func

17 The authors used information retrieval and natural language processing me

18 y facilitates the applications of biomedical information retrieval and text mining.

19 direct on-line sequence similarity searches, information retrieval, and knowledge discovery by provid

20 Using an alignment-free information-retrieval approach, we have comprehensively

21 ere we present a two-stage machine learning, information retrieval, approach to fold recognition.

22 to support the unbiased evaluation of novel information retrieval approaches.

23 eloped for protein family identification and information retrieval, as an approach to undertake the h

24 is available for online search and sequence information retrieval at http://www.biochem.ucl.ac.uk/bs

25 oncology audience, as this may help ease the information retrieval burden facing participants in the

26 lated to the well-known average precision in information retrieval, but reflecting the usage of E-val

27 determine which obtained the best results in information retrieval exercises.

28 een introduced to measure the performance of information retrieval for biomedical applications.

29 l PFC plays a differentially greater role in information retrieval for slower subjects, possibly beca

30 ted DNA and/or protein sequences, as well as information retrieval, have become increasingly difficul

31 mprehensive quality controls, and biological information retrieval in large volumes of genomic data.

32 ave examined existing web-based services for information retrieval in order to give users guidance to

33 g techniques, which involve the processes of information retrieval, information extraction and data m

34 Despite the proliferation of electronic information retrieval (IR) systems for physicians, their

35 e general Web search engines and specialized information retrieval (IR) systems have made important s

36 y significant improvement can be obtained in information retrieval (IR) when the text of a user's que

37 e profiles to the disambiguation task via an information retrieval method, which ranks the similarity

38 The information retrieval module currently retrieves informa

39 The model, called simplified memory information retrieval network (SMIRN), is a bi-modular h

40 es: the ProteinInfo program from the Protein information Retrieval On-line World Wide Web Lab or PROW

41 mposed of four modules: gene set management, information retrieval, organization/visualization, and s

42 From an information retrieval perspective, normalization facilit

43 We combined several metrics from information retrieval popular in the literature: mean pr

44 By considering this as an information retrieval problem, we have adapted methods d

45 res with NOESY peak lists using methods from information retrieval statistics.

46 h methods for hit-specific and data set-wide information retrieval, suited to any genome-based analyt

47 ignments, and links to the Entrez integrated information retrieval system at the National Center for

48 The ATLAS information retrieval system can be used to browse and q

49 The ATLAS information retrieval system can be used to browse and q

50 problems are addressed by KiPar, a dedicated information retrieval system designed to facilitate acce

51 ing air pollution values from the Aerometric Information Retrieval System with the patients' home zip

52 d into the National Center for Biotechnology Information retrieval system, making them searchable by

53 e alignments, links to the Entrez integrated information retrieval system, structures for histone and

54 say data are integrated into the NCBI Entrez information retrieval system, thus making PubChem data s

55 formation easily accessible through the NCBI information retrieval system-Entrez, and various web-bas

56 Indexing is a crucial step in any information retrieval system.

57 improvements in the functionality of the CDD information retrieval system.

58 recorded and analyzed using a computer-based information retrieval system.

59 ental computing problem faced by large-scale information retrieval systems.

60 be exploited to improve the effectiveness of information retrieval systems.

61 The evaluation of information retrieval techniques has traditionally relie

62 ribe two protocols for evaluating biomedical information retrieval techniques without human relevance

63 common approach to this goal has been to use information retrieval technology to improve access to te

64 peptide searches facilitates speedy, dynamic information retrieval that may significantly benefit cli

65 To maximize family information retrieval, the database provides links to va

66 To maximize family information retrieval, the database provides links to va

67 r, in many fundamental problems ranging from information retrieval to drug discovery, only the very t

68 tic Indexing (LSI), a vector space model for information retrieval, to automatically identify concept

69 To improve information retrieval, we leverage the structure of the

70 Multiple techniques from information retrieval were used to preprocess the functi