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» Gene Expression Clustering with Functional Mixture Models
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CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
15 years 11 months ago
Gene Teams with Relaxed Proximity Constraint
Functionally related genes co-evolve, probably due to the strong selection pressure in evolution. Thus we expect that they are present in multiple genomes. Physical proximity amon...
Sun Kim, Jeong-Hyeon Choi, Jiong Yang
BMCBI
2010
124views more  BMCBI 2010»
15 years 5 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 11 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
BMCBI
2007
186views more  BMCBI 2007»
15 years 5 months ago
GeneBins: a database for classifying gene expression data, with application to plant genome arrays
Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We deve...
Nicolas Goffard, Georg Weiller
BMCBI
2008
120views more  BMCBI 2008»
15 years 5 months ago
A protein interaction based model for schizophrenia study
Background: Schizophrenia is a complex disease with multiple factors contributing to its pathogenesis. In addition to environmental factors, genetic factors may also increase susc...
Pei-Chun Hsu, Ueng-Cheng Yang, Kuan-Hui Shih, Chih...