Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data [PDF]
BMC Bioinformatics, 2008 Background Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technology can make data interpretation unreliable.
Kulesz-Martin Molly +3 more
doaj +4 more sources
Multiwavelength analysis of three SNe associated with GRBs observed by GROND [PDF]
, 2015 After the discovery of the first connection between GRBs and SNe almost two decades ago, tens of SN-like rebrightenings have been discovered and about seven solid associations have been spectroscopically confirmed to date.
Afonso, P. M. J. +16 more
core +2 more sources
Static Safety for an Actor Dedicated Process Calculus by Abstract Interpretation [PDF]
, 2006 The actor model eases the definition of concurrent programs with non uniform behaviors. Static analysis of such a model was previously done in a data-flow oriented way, with type systems.
A. Igarashi +20 more
core +4 more sources
SkelCL - A Portable Skeleton Library for High-Level GPU Programming [PDF]
, 2011 While CUDA and OpenCL made general-purpose programming for Graphics Processing Units (GPU) popular, using these programming approaches remains complex and error-prone because they lack high-level abstractions.
Gorlatch, Sergei +2 more
core +1 more source
Pulsating stars in NGC 6231 Frequency analysis and photometric mode identification near the main sequence [PDF]
, 2013 We used Johnson UBV photometric CCD observations to identify pulsating and other variable stars in the young open cluster NGC 6231. The multi-color information was used to classify pulsating variables, perform frequency analysis, and - where possible ...
Handler, Gerald +2 more
core +1 more source
Network enrichment analysis: extension of gene-set enrichment analysis to gene networks [PDF]
, 2012 Background Gene-set enrichment analyses (GEA or GSEA) are commonly used for biological characterization of an experimental gene-set. This is done by finding known functional categories, such as pathways or Gene Ontology terms, that are over-represented ...
Alexeyenko Andrey +7 more
core +2 more sources
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty [PDF]
, 2014 Interneuron classification is an important and long-debated topic in neuroscience. A recent study provided a data set of digitally reconstructed interneurons classified by 42 leading neuroscientists according to a pragmatic classification scheme composed
Benavides-Piccione, Ruth +4 more
core +2 more sources
HilE regulates HilD by blocking DNA binding in Salmonella enterica serovar Typhimurium [PDF]
, 2018 The Salmonella type three secretion system (T3SS), encoded in the Salmonella pathogenicity island 1 (SPI1) locus, mediates the invasion of the host intestinal epithelium.
Cott Chubiz, Jessica E +3 more
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Statistical process control for data without inherent order [PDF]
, 2012 Background The XmR chart is a powerful analytical tool in statistical process control (SPC) for detecting special causes of variation in a measure of quality. In this analysis a statistic called the average moving range is used as a measure of dispersion
Alan J Poots, Thomas Woodcock
core +3 more sources
Control of autonomous robot behavior using data filtering through adaptive resonance theory
Vietnam Journal of Computer Science, 2017 The aim of the article is to use neural networks to control autonomous robot behavior. The type of the controlling neural network was chosen a backpropagation neural network with a sigmoidal transfer function.
Adam Barton, Eva Volna, Martin Kotyrba
doaj +1 more source