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» Extracting Regulatory Gene Expression Networks From Pubmed
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BMCBI
2004
117views more  BMCBI 2004»
14 years 9 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 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
127
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BMCBI
2006
133views more  BMCBI 2006»
14 years 9 months ago
Topological basis of signal integration in the transcriptional-regulatory network of the yeast, Saccharomyces cerevisiae
Background: Signal recognition and information processing is a fundamental cellular function, which in part involves comprehensive transcriptional regulatory (TR) mechanisms carri...
Illés J. Farkas, Chuang Wu, Chakra Chennubh...
IMSCCS
2006
IEEE
15 years 3 months ago
Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs
Background: As more and more genomes are sequenced, comparative genomics approaches provide a methodology for identifying conserved regulatory elements that may be involved in gen...
Linyong Mao, W. Jim Zheng
BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...