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» Stratification bias in low signal microarray studies
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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 6 months ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li
BMCBI
2010
141views more  BMCBI 2010»
13 years 5 months ago
Computing and visually analyzing mutual information in molecular co-evolution
Background: Selective pressure in molecular evolution leads to uneven distributions of amino acids and nucleotides. In fact one observes correlations among such constituents due t...
Sebastian Bremm, Tobias Schreck, Patrick Boba, Ste...
BMCBI
2010
108views more  BMCBI 2010»
13 years 5 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
BMCBI
2006
203views more  BMCBI 2006»
13 years 5 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
ICC
2009
IEEE
106views Communications» more  ICC 2009»
14 years 11 days ago
Distributed ECN-Based Congestion Control
—Following the design philosophy of XCP, VCP is a router-assisted congestion protocol that intends to balance the efficiency and the fairness control in high Bandwidth-Delay Pro...
Xiaolong Li, Homayoun Yousefi'zadeh