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» eGIFT: Mining Gene Information from the Literature
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SIGKDD
2002
81views more  SIGKDD 2002»
13 years 7 months ago
P-tree Classification of Yeast Gene Deletion Data
Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null valu...
Amal Perera, Anne Denton, Pratap Kotala, William J...
BMCBI
2005
121views more  BMCBI 2005»
13 years 7 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
TREC
2003
13 years 9 months ago
SVM Approach to GeneRIF Annotation
In the biological domain, to extract the newly discovered functional features from massive literature is a major challenging issue. To automatically annotate GeneRIF in a new lite...
Wen-Juan Hou, Chun-Yuan Teng, Chih Lee, Hsin-Hsi C...
CIARP
2007
Springer
13 years 11 months ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
BMCBI
2010
149views more  BMCBI 2010»
13 years 7 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...