TY  - GEN
AB  - With the increasing volume of published online full-text scientific articles, even the most robust  Information  Retrieval  (IR) system  returns  more  documents  and  abstracts  than biomedical  scientists  are  able  to  manually  review.  The  problem  is aggravated  by  the information-intensive nature of “high-throughput” technologies (e.g., microarray experiments)  that  can  study  expression  in  a  given  biologic  context  at  a  genome-wide scale.  These advanced  technologies  and  the  increasing  number  of  publications discussing  genomic  findings  impair  our  ability  to  fully  comprehend  the  meaning  of  the  information that is embedded in the vast body of free-text biomedical literature. As such, the ability to use the literature to interpret the results of the experiments at hand is limited. Hence, tools that can survey the large quantity of literature can be helpful to the scientists interpreting and planning these large-scale genome-wide microarray experiments.
AD  - Oregon Health and Science University
AU  - Yang, Jianji
DA  - 2007
DO  - 10.6083/M48050KT
DO  - DOI
ED  - Hersh, William
ED  - Advisor
ID  - 322
KW  - Cluster Analysis
KW  - MEDLINE
KW  - Natural Language Processing
KW  - Information Storage and Retrieval
KW  - Microarray Analysis
L1  - https://digitalcollections.ohsu.edu/record/322/files/323_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/322/files/323_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/322/files/323_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/322/files/323_etd.pdf
N2  - With the increasing volume of published online full-text scientific articles, even the most robust  Information  Retrieval  (IR) system  returns  more  documents  and  abstracts  than biomedical  scientists  are  able  to  manually  review.  The  problem  is aggravated  by  the information-intensive nature of “high-throughput” technologies (e.g., microarray experiments)  that  can  study  expression  in  a  given  biologic  context  at  a  genome-wide scale.  These advanced  technologies  and  the  increasing  number  of  publications discussing  genomic  findings  impair  our  ability  to  fully  comprehend  the  meaning  of  the  information that is embedded in the vast body of free-text biomedical literature. As such, the ability to use the literature to interpret the results of the experiments at hand is limited. Hence, tools that can survey the large quantity of literature can be helpful to the scientists interpreting and planning these large-scale genome-wide microarray experiments.
PB  - Oregon Health and Science University
PY  - 2007
T1  - Automatic summarization of mouse gene information for microarray analysis by functional gene clustering and ranking of sentences in MEDLINE abstracts
TI  - Automatic summarization of mouse gene information for microarray analysis by functional gene clustering and ranking of sentences in MEDLINE abstracts
UR  - https://digitalcollections.ohsu.edu/record/322/files/323_etd.pdf
Y1  - 2007
ER  -