Sciweavers

21183 search results - page 4074 / 4237
» Adaptive Testing by Test
Sort
View
127
Voted
BMCBI
2008
132views more  BMCBI 2008»
15 years 3 months ago
Very Important Pool (VIP) genes - an application for microarray-based molecular signatures
Background: Advances in DNA microarray technology portend that molecular signatures from which microarray will eventually be used in clinical environments and personalized medicin...
Zhenqiang Su, Huixiao Hong, Hong Fang, Leming M. S...
140
Voted
BMCBI
2008
115views more  BMCBI 2008»
15 years 3 months ago
PARPST: a PARallel algorithm to find peptide sequence tags
Background: Protein identification is one of the most challenging problems in proteomics. Tandem mass spectrometry provides an important tool to handle the protein identification ...
Sara Brunetti, Elena Lodi, Elisa Mori, Maria Stell...
138
Voted
BMCBI
2008
125views more  BMCBI 2008»
15 years 3 months ago
Disambiguation of biomedical text using diverse sources of information
Background: Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the aut...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas, D...
111
Voted
BMCBI
2008
97views more  BMCBI 2008»
15 years 3 months ago
MCM-test: a fuzzy-set-theory-based approach to differential analysis of gene pathways
Background: Gene pathway can be defined as a group of genes that interact with each other to perform some biological processes. Along with the efforts to identify the individual g...
Lily R. Liang, Vinay Mandal, Yi Lu, Deepak Kumar
165
Voted
BMCBI
2008
149views more  BMCBI 2008»
15 years 3 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
« Prev « First page 4074 / 4237 Last » Next »