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KES
2005
Springer
12 years 5 months ago
Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data
Clustering for the analysis of the gene expression profiles has been used for identifying the functions of the genes and of unknown genes. Since the genes usually belong to multipl...
Kyung-Joong Kim, Si-Ho Yoo, Sung-Bae Cho
PR
2006
119views more  PR 2006»
11 years 12 months ago
Fuzzy Bayesian validation for cluster analysis of yeast cell-cycle data
Clustering for the analysis of the genes organizes the patterns into groups by the similarity of the dataset and has been used for identifying the functions of the genes in the cl...
Sung-Bae Cho, Si-Ho Yoo
BMCBI
2006
122views more  BMCBI 2006»
12 years 23 hour ago
Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle
Background: A transcriptional regulatory module (TRM) is a set of genes that is regulated by a common set of transcription factors (TFs). By organizing the genome into TRMs, a liv...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
12 years 5 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
2008
202views more  BMCBI 2008»
12 years 2 days ago
Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
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