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BMCBI
2010
111views more  BMCBI 2010»
15 years 6 months ago
Dynamic probe selection for studying microbial transcriptome with high-density genomic tiling microarrays
Background: Current commercial high-density oligonucleotide microarrays can hold millions of probe spots on a single microscopic glass slide and are ideal for studying the transcr...
Hedda Høvik, Tsute Chen
BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2007
117views more  BMCBI 2007»
15 years 6 months ago
Influence of degree correlations on network structure and stability in protein-protein interaction networks
Background: The existence of negative correlations between degrees of interacting proteins is being discussed since such negative degree correlations were found for the large-scal...
Caroline C. Friedel, Ralf Zimmer
BMCBI
2007
149views more  BMCBI 2007»
15 years 6 months ago
A unified framework for finding differentially expressed genes from microarray experiments
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
Jahangheer S. Shaik, Mohammed Yeasin
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