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» Smoothing Gene Expression Using Biological Networks
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RECOMB
2006
Springer
14 years 9 months ago
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes
Abstract. Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription fa...
Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam ...
BMCBI
2006
137views more  BMCBI 2006»
13 years 9 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
14 years 2 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
BMCBI
2004
131views more  BMCBI 2004»
13 years 8 months ago
Alternative mapping of probes to genes for Affymetrix chips
Background: Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the...
Laurent Gautier, Morten Møller, Lennart Fri...
ISNN
2004
Springer
14 years 2 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...