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KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 10 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
BMCBI
2008
155views more  BMCBI 2008»
13 years 10 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
BMCBI
2008
132views more  BMCBI 2008»
13 years 10 months ago
Exon level integration of proteomics and microarray data
Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in par...
Danny A. Bitton, Michal J. Okoniewski, Yvonne Conn...
BMCBI
2006
90views more  BMCBI 2006»
13 years 10 months ago
The PowerAtlas: a power and sample size atlas for microarray experimental design and research
Background: Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experimen...
Grier P. Page, Jode W. Edwards, Gary L. Gadbury, P...
BMCBI
2006
374views more  BMCBI 2006»
13 years 10 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...