Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Weijian, Xuan"'
Autor:
Weijian Xuan1,2, Manhong Dai1, Buckner, Josh1, Mirel, Barbara2,3, Jean Song2,4, Athey, Brian1,2, Watson, Stanley J.1, Fan Meng1,2 mengf@umich.edu
Publikováno v:
BMC Genomics. Jan2010 Supplement 3, Vol. 11, p1-10. 10p. 2 Color Photographs, 2 Diagrams.
Autor:
Weijian Xuan1,2 wxuan@umich.edu, Manhong Dai1 daimh@umich.edu, Mirel, Barbara2,3 bmirel@umich.edu, Song, Jean2,4 jeansong@umich.edu, Athey, Brian1,2 bleu@umich.edu, Watson, Stanley J.1 watsons@umich.edu, Fan Meng1,2 mengf@umich.edu
Publikováno v:
BMC Bioinformatics. 2009 Supplement 5, Vol. 10, Special section p1-14. 14p. 9 Color Photographs, 1 Diagram, 1 Chart.
Publikováno v:
Journal of the American Society for Information Science and Technology. 64:874-892
Many recent studies on MEDLINE-based information seeking have shed light on scientists’ behaviors and associated tool innovations that may improve efficiency and effectiveness. Few, if any, studies, however, examine scientists’ problem-solving us
Publikováno v:
Bioinformatics. 23:2477-2484
Motivation: Genome-wide high density SNP association studies are expected to identify various SNP alleles associated with different complex disorders. Understanding the biological significance of these SNP alleles in the context of existing literatur
Autor:
Fan Meng, Pinglang Wang, Stanley J. Watson, Manhong Dai, Richard C. McEachin, Weijian Xuan, Laura J. Scott, Anne U. Jackson, Brian D. Athey
Publikováno v:
ISMB (Supplement of Bioinformatics)
Motivation: Finding the potential functional significance of SNPs is a major bottleneck in understanding genome-wide SNP scanning results, as the related functional data are distributed across many different databases. The SNP Function Portal is desi
Autor:
Barbara, Mirel, Jean, Song, Jennifer Steiner, Tonks, Fan, Meng, Weijian, Xuan, Rafiqa, Ameziane
Publikováno v:
Journal of the American Society for Information Science and Technology : JASIST. 64(5)
Many recent studies on MEDLINE-based information seeking have shed light on scientists’ behaviors and associated tool innovations that may improve efficiency and effectiveness. Few if any studies, however, examine scientists’ problem-solving uses
Autor:
Stanley J. Watson, Fan-Bo Meng, Manhong Dai, Barbara Mirel, Brian D. Athey, Jean Song, Weijian Xuan
Publikováno v:
BMC Bioinformatics
Background Effective Medline database exploration is critical for the understanding of high throughput experimental results and the development of novel hypotheses about the mechanisms underlying the targeted biological processes. While existing solu
Autor:
Justin Wilson, Manhong Dai, Weijian Xuan, Barbara Mirel, Brian D. Athey, Fan Meng, Stanley J. Watson
Publikováno v:
Computational systems bioinformatics. Computational Systems Bioinformatics Conference. 6
Searching the Medline database is almost a daily necessity for many biomedical researchers. However, available Medline search solutions are mainly designed for the quick retrieval of a small set of most relevant documents. Because of this search mode
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783540709381
CICLing
CICLing
Identifying sentence boundaries is an indispensable task for most natural language processing (NLP) systems. While extensive efforts have been devoted to mine biomedical text using NLP techniques, few attempts are specifically targeted at disambiguat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b3f97eb6afb6b840aa52902b86e6224
https://doi.org/10.1007/978-3-540-70939-8_17
https://doi.org/10.1007/978-3-540-70939-8_17
Publikováno v:
Bioinformatics (Oxford, England). 21(16)
Summary: GeneInfoMiner is a web-based system for searching Medline abstracts using sequence ID lists such as GenBank accession numbers derived from high-throughput experiments. It will map query results to MeSH topics to facilitate the exploration of