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» Smoothing Gene Expression Using Biological Networks
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CIBCB
2005
IEEE
14 years 2 months ago
Identification of Functional RNA Genes Using Evolved Neural Networks
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Mars Cheung, Gary B. Fogel
SAC
2006
ACM
14 years 2 months ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
BMCBI
2010
110views more  BMCBI 2010»
13 years 9 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
RECOMB
2004
Springer
14 years 9 months ago
Comparing in situ mRNA expression patterns of drosophila embryos
In situ staining of a target mRNA at several time points during the development of a D. melanogaster embryo gives one a detailed spatio-temporal view of the expression pattern of ...
Hanchuan Peng, Eugene W. Myers
BMCBI
2006
166views more  BMCBI 2006»
13 years 9 months ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...