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...
Guardado en:
Autor principal: | |
---|---|
Formato: | SER |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_10643745_v972_n_p15_Kelmansky |
Aporte de: |
id |
todo:paper_10643745_v972_n_p15_Kelmansky |
---|---|
record_format |
dspace |
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 |
_version_ |
1782027097254920192 |