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Displaying 1-6 out of 6 total
Visualizing aggregated biological pathway relations
Found in: Digital Libraries, Joint Conference on
By Shauna Eggers, Karin Qui├▒ones, Hua Su, Hsinchun Chen, Byron Marshall
Issue Date:June 2005
pp. 67-68
The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found...
 
Genescene: Biomedical Text And Data Mining
Found in: Digital Libraries, Joint Conference on
By Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jie Xu, Daniel M. McDonald, Gavin Ng
Issue Date:May 2003
pp. 116
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from te...
 
Genescene: Biomedical Text And Data Mining
Found in: Digital Libraries, Joint Conference on
By Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jie Xu, Daniel M. McDonald, Gavin Ng
Issue Date:May 2003
pp. 116
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from te...
 
Genescene: Biomedical Text And Data Mining
Found in: Digital Libraries, Joint Conference on
By Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jie Xu, Daniel M. McDonald, Gavin Ng
Issue Date:May 2003
pp. 116
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from te...
 
Visualization in law enforcement
Found in: CHI '05 extended abstracts on Human factors in computing systems (CHI '05)
By Ankit Shah, Byron Marshall, Chuck Violette, Chunju Tseng, Hemanth Gowda, Homa Atabakhsh, Hsinchun Chen, Shauna Eggers, Siddharth Kaza, Tim Petersen
Issue Date:April 2005
pp. 1268-1271
Visualization techniques have proven to be critical in helping crime analysis. By interviewing and observing Criminal Intelligence Officers (CIO) and civilian crime analysts at the Tucson Police Department (TPD), we found that two types of tasks are import...
     
You'd better set down for this!: creating a set type for CS1 & CS2 in C#
Found in: Proceedings of the 7th annual conference on Innovation and technology in computer science education (ITiCSE'02)
By Abin Shahab, Christopher O'Toole, Jacob Alm, Robert Baber, Shauna Eggers
Issue Date:June 2002
pp. 125-180
The authors have developed a set class and other supporting materials that would be useful for a CS1 and CS2 course taught in the C# programming language developed by Microsoft Corporation [1]. The primary goals were to create a data structure that would b...
     
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