289 search results - page 16 / 58 » Bayesian Networks Learning for Gene Expression Datasets |
101
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BIBE
2009
IEEE
15 years 2 months ago
2009
IEEE
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical k...
122
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BMCBI
2007
14 years 9 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
83
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RECOMB
2003
Springer
15 years 9 months ago
2003
Springer
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
BMCBI
2006
14 years 9 months ago
2006
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
BMCBI
2006
14 years 9 months ago
2006
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...