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» Individual Gene Cluster Statistics in Noisy Maps
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BMCBI
2006
86views more  BMCBI 2006»
13 years 7 months ago
Identification of QTLs controlling gene expression networks defined a priori
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
BMCBI
2006
109views more  BMCBI 2006»
13 years 7 months ago
HaploRec: efficient and accurate large-scale reconstruction of haplotypes
Background: Haplotypes extracted from human DNA can be used for gene mapping and other analysis of genetic patterns within and across populations. A fundamental problem is, howeve...
Lauri Eronen, Floris Geerts, Hannu Toivonen
BMCBI
2006
138views more  BMCBI 2006»
13 years 7 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
PROMPT: a protein mapping and comparison tool
Background: Comparison of large protein datasets has become a standard task in bioinformatics. Typically researchers wish to know whether one group of proteins is significantly en...
Thorsten Schmidt, Dmitrij Frishman
ICML
2004
IEEE
14 years 7 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He