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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
BIOINFORMATICS
2007
161views more  BIOINFORMATICS 2007»
13 years 7 months ago
Functional evaluation of domain-domain interactions and human protein interaction networks
: Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of...
Andreas Schlicker, Carola Huthmacher, Fidel Ram&ia...
ICTAI
2010
IEEE
13 years 5 months ago
The BioASP Library: ASP Solutions for Systems Biology
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
Martin Gebser, Arne König, Torsten Schaub, Sv...