«normal data analysis»
۵۳٬۲۸۵ نتیجهChallenge G: An even more competitive and cost efficient railway Symbolic data analysis and supervised/ non supervised learning algorithms for bridge health monitoring
In the past few years, numerous methods for damage assessment in connection with structural health monitoring were proposed in the literature. Several problems are raised for making these approaches practical for the engineer. The first concern is to determine whether a structure
Reducing inter-subject anatomical variation: Effect of normalization method on sensitivity of functional magnetic resonance imaging data analysis in auditory cortex and the superior temporal region
Conventional group analysis of functional MRI (fMRI) data usually involves spatial alignment of anatomy across participants by registering every brain image to an anatomical reference image. Due to the high degree of inter-subject anatomical variability, a low-resolution average
MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
First released in 2009, MetaboAnalyst (www.metaboanalyst.ca) was a relatively simple web server designed to facilitate metabolomic data processing and statistical analysis. With continuing advances in metabolomics along with constant user feedback, it became clear that a substant
Enhancing Interdisciplinary Mathematics and Biology Education: A Microarray Data Analysis Course Bridging These Disciplines
BIO2010 put forth the goal of improving the mathematical educational background of biology students. The analysis and interpretation of microarray high-dimensional data can be very challenging and is best done by a statistician and a biologist working and teaching in a collaborat
Empirical Likelihood Confidence Intervals for Nonparametric Functional Data Analysis
We consider the problem of constructing confidence intervals for nonparametric functional data analysis using empirical likelihood. In this doubly infinite-dimensional context, we demonstrate the Wilks’s phenomenon and propose a bias-corrected construction that requires neither u
Toward theory-driven, quantitative performance measurement in ergonomics science: the abstraction hierarchy as a framework for data analysis
function/sub-system At this level of the AH, there are 12 variables that describe the state of the microworld: MO1, EI1, EO1, M1, E1, MI1, MO2, EI2, EO2, M2, E2 and MI2 (see Bisantz and Vicente 1994). With the addition of time, they form a 13-dimensional space. Multi-variance is
Functional data analysis with increasing number of projections
Functional principal components (FPC’s) provide the most important and most extensively used tool for dimension reduction and inference for functional data. The selection of the number, d, of the FPC’s to be used in a specific procedure has attracted a fair amount of attention, a
Chapter MICROARRAY DATA ANALYSIS USING NEURAL NETWORK CLASSIFIERS AND GENE SELECTION METHODS
Different research groups have conducted independent gene expression studies on tissue samples from human lung adenocarcinomas [Bhattacharjee et al. 2001; Beer et al. 2002]. In this paper we (a) investigate methods to integrate data obtained from independent studies, (b) experime
An Open Source Microarray Data Analysis System with GUI: Quintet
We address Quintet, an R-based unified cDNA microarray data analysis system with GUI. Five principal categories of microarray data analysis have been coherently integrated in Quintet: data processing steps such as faulty spot filtering and normalization, data quality assessment (
Signal Selection in Microarray Data Analysis
The paper describes the use of statistical signal selection in DNA microarray data analysis. The experiments considered produce time-series data. A commonly used method of thresholding is compared to using the ‘run test’, ‘turning point test’,‘Kendall’s tau test’ and ‘autocorrela