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» Network constrained clustering for gene microarray data
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CSB
2005
IEEE
124views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Discovering Functional Transcription Factor Binding from Superimposed Gene Networks
The availability of entire genome sequences, coupled with genome-wide studies of gene expression, offers promise for discovering new pathways along with their regulatory programs....
Matthew T. Weirauch, Joshua M. Stuart
ISNN
2007
Springer
15 years 3 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
JBI
2007
138views Bioinformatics» more  JBI 2007»
14 years 9 months ago
Towards knowledge-based gene expression data mining
ct 10 The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at 11 complementing microarray analysis with...
Riccardo Bellazzi, Blaz Zupan
BMEI
2008
IEEE
14 years 11 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
CIBCB
2005
IEEE
15 years 3 months ago
Predicting Single Genes Related to Immune-Relevant Processes
— In this paper we address the problem of predicting gene activities by finding gene regulatory dependencies in experimental DNA microarray data. Only few approaches to infer th...
Christian Spieth, Felix Streichert, Nora Speer, Ch...