Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/196460
Type: Artigo de periódico
Title: Iser: Selection Of Differentially Expressed Genes From Dna Array Data By Non-linear Data Transformations And Local Fitting.
Author: Drummond, R D
Pinheiro, A
Rocha, C S
Menossi, M
Abstract: This report describes an algorithm (intensity-dependent selection of expression ratios or ISER) developed to analyse DNA array data by optimizing the selection of genes with the most significant variations in expression amongst two RNA samples. The algorithm is designed for use when little or no replication of array hybridizations is available.
Subject: Algorithms
Computational Biology
Databases, Nucleic Acid
Gene Expression Profiling
Nonlinear Dynamics
Oligonucleotide Array Sequence Analysis
Roc Curve
Software
Rights: fechado
Identifier DOI: 10.1093/bioinformatics/bti729
Address: http://www.ncbi.nlm.nih.gov/pubmed/16249264
Date Issue: 2005
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

Files in This Item:
File SizeFormat 
pmed_16249264.pdf93.64 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.