Editorial: Methods in Functional Genomics
Machine Learning
Microarray data mining: facing the challenges
ACM SIGKDD Explorations Newsletter
Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Dimensionality Reduction for Mass Spectrometry Data
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling
International Journal of Hybrid Intelligent Systems - Recent Advances in Intelligent Paradigms Fusion and Their Applications
A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Gene expression data classification based on non-negative matrix factorization
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
The Journal of Machine Learning Research
Quality assessment of MAGE-ML genomic datasets using DescribeX
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Genetic Networks and Soft Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
On efficiency of experimental designs for single factor cDNA microarray experiments
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
Data mining in inductive databases
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
A methodology based on MP theory for gene expression analysis
CMC'11 Proceedings of the 12th international conference on Membrane Computing
A framework of gene subset selection using multiobjective evolutionary algorithm
PRIB'12 Proceedings of the 7th IAPR international conference on Pattern Recognition in Bioinformatics
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From the Publisher:Functional genomics--the deconstruction of the genome to determine the biological function of genes and gene interactions--is one of the most fruitful new areas of biology. The growing use of DNA microarrays allows researchers to assess the expression of tens of thousands of genes at a time. This quantitative change has led to qualitative progress in our ability to understand regulatory processes at the cellular level. This book provides a systematic introduction to the use of DNA microarrays as an investigative tool for functional genomics. The presentation is appropriate for readers from biology or bioinformatics. After presenting a framework for the design of microarray-driven functional genomics experiments, the book discusses the foundations for analyzing microarray data sets, genomic data-mining, the creation of standardized nomenclature and data models, clinical applications of functional genomics research, and the future of functional genomics.