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BMCBI
2010
154views more  BMCBI 2010»
14 years 9 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
BMCBI
2008
147views more  BMCBI 2008»
14 years 9 months ago
Assessment of disease named entity recognition on a corpus of annotated sentences
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
Antonio Jimeno-Yepes, Ernesto Jiménez-Ruiz,...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
BIBM
2008
IEEE
212views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Analysis of Multiplex Gene Expression Maps Obtained by Voxelation
Background: Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological disease. Researchers have previously used voxelatio...
Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, ...
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FGCS
2007
78views more  FGCS 2007»
14 years 9 months ago
Experiences with GeneRecon on MiG
We report on our experiences so far with running a bioinformatics simulation study on a newly developed Grid architecture. We briefly describe the bioinformatics application – ...
Thomas Mailund, Christian N. S. Pedersen, Jonas Ba...