Sciweavers

TCSB
2008
13 years 4 months ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom
NAR
2006
110views more  NAR 2006»
13 years 4 months ago
EMAGE: a spatial database of gene expression patterns during mouse embryo development
EMAGE (http://genex.hgu.mrc.ac.uk/Emage/database) is a freely available, curated database of gene expression patterns generated by in situ techniques in the developing mouse embry...
Jeffrey H. Christiansen, Yiya Yang, Shanmugasundar...
NAR
2008
165views more  NAR 2008»
13 years 4 months ago
4DXpress: a database for cross-species expression pattern comparisons
In the major animal model species like mouse, fish or fly, detailed spatial information on gene expression over time can be acquired through whole mount in situ hybridization expe...
Yannick Haudry, Hugo Berube, Ivica Letunic, Paul-D...
JMLR
2006
103views more  JMLR 2006»
13 years 4 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
DAM
2007
91views more  DAM 2007»
13 years 4 months ago
Integer linear programming approaches for non-unique probe selection
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient tool for biological, medical, and industrial applications because of their abil...
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, M...
IJON
2006
95views more  IJON 2006»
13 years 4 months ago
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, W...
CLEIEJ
2007
152views more  CLEIEJ 2007»
13 years 4 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
BMCBI
2007
198views more  BMCBI 2007»
13 years 4 months ago
Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
Nicola Neretti, Daniel Remondini, Marc Tatar, John...
BMCBI
2007
133views more  BMCBI 2007»
13 years 4 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
BMCBI
2007
126views more  BMCBI 2007»
13 years 4 months ago
Comparison of gene expression profiles altered by comfrey and riddelliine in rat liver
Background: Comfrey (Symphytum officinale) is a perennial plant and has been consumed by humans as a vegetable, a tea and an herbal medicine for more than 2000 years. It, however,...
Lei Guo, Nan Mei, Stacey L. Dial, James C. Fuscoe,...