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COMPLIFE
2006
Springer
14 years 16 days ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
14 years 2 months ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
BMCBI
2008
128views more  BMCBI 2008»
13 years 9 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
BMCBI
2005
143views more  BMCBI 2005»
13 years 8 months ago
Gene capture prediction and overlap estimation in EST sequencing from one or multiple libraries
Background: In expressed sequence tag (EST) sequencing, we are often interested in how many genes we can capture in an EST sample of a targeted size. This information provides ins...
Ji-Ping Z. Wang, Bruce G. Lindsay 0002, Liying Cui...
TCBB
2010
106views more  TCBB 2010»
13 years 7 months ago
Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis
—The correct interpretation of many molecular biology experiments depends in an essential way on the accuracy and consistency of the existing annotation databases. Such databases...
Bogdan Done, Purvesh Khatri, Arina Done, Sorin Dra...