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» Evolving fuzzy rules to model gene expression
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ISMB
1997
13 years 9 months ago
Inferring Gene Structures in Genomic Sequences Using Pattern Recognition and Expressed Sequence Tags
Abstract.) Ying Xu, Richard J. MuraF, and Edward C. Uberbacher Computer Science and Mathematics Division and tLife Sciences Division Computational methods for gene identification ...
Ying Xu, Richard J. Mural, Edward C. Uberbacher
BMCBI
2010
164views more  BMCBI 2010»
13 years 8 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...
CJ
2006
100views more  CJ 2006»
13 years 7 months ago
Fuzzifying P Systems
Abstract. Uncertainty is an inherent property of all living systems. Curiously enough, computational models inspired by biological systems do not take, in general, under considerat...
Apostolos Syropoulos
BMCBI
2006
119views more  BMCBI 2006»
13 years 7 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj