Where statistics and molecular microarray experiments biology meet

This review chapter presents a statistical point of view to microarray experiments with the purpose of understanding the apparent contradictions that often appear in relation to their results. We give a brief introduction of molecular biology for nonspecialists. We describe microarray experiments fr...

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Autor principal: Kelmansky, D.M.
Formato: SER
Materias:
DNA
RNA
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_10643745_v972_n_p15_Kelmansky
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spelling todo:paper_10643745_v972_n_p15_Kelmansky2023-10-03T16:01:59Z Where statistics and molecular microarray experiments biology meet Kelmansky, D.M. Calibration Epidemiology Image processing Microarray experiments Statistics DNA nucleotide derivative oligonucleotide polynucleotide RNA article calibration data analysis DNA denaturation DNA hybridization DNA polymorphism DNA structure eukaryotic cell experiment gene expression human human genome image analysis microarray analysis molecular biology observational study priority journal reverse transcription RNA isolation RNA splicing RNA structure sample size algorithm comparative genomic hybridization DNA microarray gene expression profiling image processing methodology nucleotide sequence review statistical analysis Algorithms Base Sequence Calibration Comparative Genomic Hybridization Data Interpretation, Statistical Gene Expression Profiling Humans Image Processing, Computer-Assisted Oligonucleotide Array Sequence Analysis This review chapter presents a statistical point of view to microarray experiments with the purpose of understanding the apparent contradictions that often appear in relation to their results. We give a brief introduction of molecular biology for nonspecialists. We describe microarray experiments from their construction and the biological principles the experiments rely on, to data acquisition and analysis. The role of epidemiological approaches and sample size considerations are also discussed. © Springer Science+Business Media New York 2013. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_10643745_v972_n_p15_Kelmansky
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Calibration
Epidemiology
Image processing
Microarray experiments
Statistics
DNA
nucleotide derivative
oligonucleotide
polynucleotide
RNA
article
calibration
data analysis
DNA denaturation
DNA hybridization
DNA polymorphism
DNA structure
eukaryotic cell
experiment
gene expression
human
human genome
image analysis
microarray analysis
molecular biology
observational study
priority journal
reverse transcription
RNA isolation
RNA splicing
RNA structure
sample size
algorithm
comparative genomic hybridization
DNA microarray
gene expression profiling
image processing
methodology
nucleotide sequence
review
statistical analysis
Algorithms
Base Sequence
Calibration
Comparative Genomic Hybridization
Data Interpretation, Statistical
Gene Expression Profiling
Humans
Image Processing, Computer-Assisted
Oligonucleotide Array Sequence Analysis
spellingShingle Calibration
Epidemiology
Image processing
Microarray experiments
Statistics
DNA
nucleotide derivative
oligonucleotide
polynucleotide
RNA
article
calibration
data analysis
DNA denaturation
DNA hybridization
DNA polymorphism
DNA structure
eukaryotic cell
experiment
gene expression
human
human genome
image analysis
microarray analysis
molecular biology
observational study
priority journal
reverse transcription
RNA isolation
RNA splicing
RNA structure
sample size
algorithm
comparative genomic hybridization
DNA microarray
gene expression profiling
image processing
methodology
nucleotide sequence
review
statistical analysis
Algorithms
Base Sequence
Calibration
Comparative Genomic Hybridization
Data Interpretation, Statistical
Gene Expression Profiling
Humans
Image Processing, Computer-Assisted
Oligonucleotide Array Sequence Analysis
Kelmansky, D.M.
Where statistics and molecular microarray experiments biology meet
topic_facet Calibration
Epidemiology
Image processing
Microarray experiments
Statistics
DNA
nucleotide derivative
oligonucleotide
polynucleotide
RNA
article
calibration
data analysis
DNA denaturation
DNA hybridization
DNA polymorphism
DNA structure
eukaryotic cell
experiment
gene expression
human
human genome
image analysis
microarray analysis
molecular biology
observational study
priority journal
reverse transcription
RNA isolation
RNA splicing
RNA structure
sample size
algorithm
comparative genomic hybridization
DNA microarray
gene expression profiling
image processing
methodology
nucleotide sequence
review
statistical analysis
Algorithms
Base Sequence
Calibration
Comparative Genomic Hybridization
Data Interpretation, Statistical
Gene Expression Profiling
Humans
Image Processing, Computer-Assisted
Oligonucleotide Array Sequence Analysis
description This review chapter presents a statistical point of view to microarray experiments with the purpose of understanding the apparent contradictions that often appear in relation to their results. We give a brief introduction of molecular biology for nonspecialists. We describe microarray experiments from their construction and the biological principles the experiments rely on, to data acquisition and analysis. The role of epidemiological approaches and sample size considerations are also discussed. © Springer Science+Business Media New York 2013.
format SER
author Kelmansky, D.M.
author_facet Kelmansky, D.M.
author_sort Kelmansky, D.M.
title Where statistics and molecular microarray experiments biology meet
title_short Where statistics and molecular microarray experiments biology meet
title_full Where statistics and molecular microarray experiments biology meet
title_fullStr Where statistics and molecular microarray experiments biology meet
title_full_unstemmed Where statistics and molecular microarray experiments biology meet
title_sort where statistics and molecular microarray experiments biology meet
url http://hdl.handle.net/20.500.12110/paper_10643745_v972_n_p15_Kelmansky
work_keys_str_mv AT kelmanskydm wherestatisticsandmolecularmicroarrayexperimentsbiologymeet
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