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» Rule-Based Measurement Of Data Quality In Nominal Data
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BMCBI
2008
126views more  BMCBI 2008»
15 years 6 months ago
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
Background: FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confide...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim...
KAIS
2008
221views more  KAIS 2008»
15 years 6 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
BMCBI
2005
124views more  BMCBI 2005»
15 years 6 months ago
Evaluating concentration estimation errors in ELISA microarray experiments
Background: Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate a protein's concentration in a sample. Deploying ELISA in a microarray format perm...
Don Simone Daly, Amanda M. White, Susan M. Varnum,...
BMCBI
2005
126views more  BMCBI 2005»
15 years 6 months ago
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
16 years 24 days ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...