Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data

DOI10.1016/j.csda.2008.11.026zbMath1453.62128OpenAlexW2058843575WikidataQ61851703 ScholiaQ61851703MaRDI QIDQ961384

Elia Biganzoli, Nicola Lama, Patrizia Boracchi

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.11.026

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Related Items (1)

Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide

Uses Software

• R
• Bioconductor
• NDA
• vsn
• PNEW
• marrayClasses
• marrayInput
• marrayNorm
• marrayPlots
• affydata
• normalp
• superpc
• sma

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Asymptotic results for goodness-of-fit statistics with unknown parameters
• Estimating the dimension of a model
• A practical guide to splines
• Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
• A new approach to intensity-dependent normalization of two-channel microarrays
• Transformations for cDNA Microarray Data
• Tests of Fit for the Laplace Distribution, with Applications
• Pre-validation and inference in microarrays
• Parameter estimation for the calibration and variance stabilization of microarray data
• Algorithm 811: NDA
• Error Distribution for Gene Expression Data
• Experimental design for gene expression microarrays

This page was built for publication: Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data