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BMCBI
2006
239views more  BMCBI 2006»
15 years 6 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
BMCBI
2007
133views more  BMCBI 2007»
15 years 6 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
JCB
2008
91views more  JCB 2008»
15 years 6 months ago
Computational Quantification of Peptides from LC-MS Data
Liquid chromatography coupled to mass spectrometry (LC-MS) has become a major tool for the study of biological processes. High-throughput LC-MS experiments are frequently conducte...
Ole Schulz-Trieglaff, Rene Hussong, Clemens Gr&oum...
BMCBI
2010
106views more  BMCBI 2010»
15 years 1 months ago
Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data
Background: A key stage for all microarray analyses is the extraction of feature-intensities from an image. If this step goes wrong, then subsequent preprocessing and processing s...
Mike L. Smith, Mark J. Dunning, Simon Tavaré...
PLDI
2011
ACM
14 years 9 months ago
EnerJ: approximate data types for safe and general low-power computation
Energy is increasingly a first-order concern in computer systems. Exploiting energy-accuracy trade-offs is an attractive choice in applications that can tolerate inaccuracies. Re...
Adrian Sampson, Werner Dietl, Emily Fortuna, Danus...