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» Identifying Projected Clusters from Gene Expression Profiles
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BMCBI
2006
190views more  BMCBI 2006»
13 years 7 months ago
SNPs3D: Candidate gene and SNP selection for association studies
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Peng Yue, Eugene Melamud, John Moult
NAR
2011
214views Computer Vision» more  NAR 2011»
12 years 10 months ago
starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data
MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (sRNAs) that regulate gene expression by targeting messenger RNAs. However, assigning miRNAs to their regu...
Jian-Hua Yang, Jun-Hao Li, Peng Shao, Hui Zhou, Yu...
BMCBI
2006
103views more  BMCBI 2006»
13 years 7 months ago
Correction of scaling mismatches in oligonucleotide microarray data
Background: Gene expression microarray data is notoriously subject to high signal variability. Moreover, unavoidable variation in the concentration of transcripts applied to micro...
Martino Barenco, Jaroslav Stark, Daniel Brewer, Da...
BMCBI
2010
193views more  BMCBI 2010»
13 years 2 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
BIBM
2010
IEEE
144views Bioinformatics» more  BIBM 2010»
13 years 5 months ago
Identification and quantification of abundant species from pyrosequences of 16S rRNA by consensus alignment
16S rRNA gene profiling has recently been boosted by the development of pyrosequencing methods. A common analysis is to group pyrosequences into Operational Taxonomic Units (OTUs),...
Yuzhen Ye