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Gene expression data analysis

by Alvis Brazma, Jaak Vilo - FEBS Lett , 2000
"... Abstract Microarrays are one of the latest breakthroughs in experimental molecular biology, which allow monitoring of gene expression for tens of thousands of genes in parallel and are already producing huge amounts of valuable data. Analysis and handling of such data is becoming one of the major bo ..."
Abstract - Cited by 144 (1 self) - Add to MetaCart
Abstract Microarrays are one of the latest breakthroughs in experimental molecular biology, which allow monitoring of gene expression for tens of thousands of genes in parallel and are already producing huge amounts of valuable data. Analysis and handling of such data is becoming one of the major

gene expression data analysis

by A. Fazel Famili, Ganming Liu, Ziying Liu , 2004
"... and optimization of clustering in ..."
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and optimization of clustering in

Microarray Gene Expression Data Analysis

by George Vachtsevanos, Yuhua Ding, Jacqueline A. Fairley, Andrew B. Gardner, Petia Simeonova
"... Image analysis is a crucial step in processing microarray data generated by gene expression studies, which have been used extensively in understanding the molecular mechanisms of injury and recovery. A novel image analysis method utilizing an efficient snake-based multichannel image segmentation alg ..."
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Image analysis is a crucial step in processing microarray data generated by gene expression studies, which have been used extensively in understanding the molecular mechanisms of injury and recovery. A novel image analysis method utilizing an efficient snake-based multichannel image segmentation

From patterns to pathways: gene expression data analysis comes of age.

by Donna K Slonim - Nature Genetics , 2002
"... ..."
Abstract - Cited by 134 (1 self) - Add to MetaCart
Abstract not found

Classification and Computational Methods in Gene Expression Data Analysis

by Cecilia Ritz, Advisor Patrik Edén
"... Microarray-tekniken som har utvecklats under cirka ett decennium, har gett oss nya möjligheter att studera aktiviteten av tusentals gener samtidigt. Det är aktiviteten hos generna, eller uttrycket av generna, som karakteriserar en cell. Celler som tillhör olika organ, eller som befinner sig i olika ..."
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kan hjälpa oss att först˚a de biologiska mekanismerna bakom cancern. Den stora mängden av data ger ocks˚a möjlighet att bygga datamodeller för kliniskt relevanta fr˚ageställningar s˚asom prognos och diagnos. Ett viktigt syfte med denna avhandling, förutom att bidra till utvecklingen av metoder

POPLAR GENE EXPRESSION DATA ANALYSIS PIPELINES By

by Xiang Li, Xiang Li , 2012
"... A REPORT Submitted in partial fulfillment of the requirements for the degree of ..."
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A REPORT Submitted in partial fulfillment of the requirements for the degree of

Template-Based Semi-Automatic Workflow Construction for Gene Expression Data Analysis

by Jiří Bělohradský, David Monge, Filip Železný, Matej Holec, Carlos García Garino
"... We propose a technique for semi-automatic construction of gene expression data analysis workflows by grammar-like inference based on predefined workflow templates. The templates represent routinely used sequences of procedures such as normalization, data transformation, classifier learning, etc. Var ..."
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We propose a technique for semi-automatic construction of gene expression data analysis workflows by grammar-like inference based on predefined workflow templates. The templates represent routinely used sequences of procedures such as normalization, data transformation, classifier learning, etc

Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis

by Sara C. Madeira
"... Abstract. Biclustering has been largely applied for gene expression data analysis. In recent years, a clearer understanding of the syner-gies between pattern mining and biclustering gave rise to a new class of biclustering algorithms, referred as pattern-based biclustering. These algorithms are able ..."
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Abstract. Biclustering has been largely applied for gene expression data analysis. In recent years, a clearer understanding of the syner-gies between pattern mining and biclustering gave rise to a new class of biclustering algorithms, referred as pattern-based biclustering. These algorithms

GEPAS: a webbased resource for microarray gene expression data analysis

by Javier Herrero, Fátima Al-shahrour, Ramón Díaz-uriarte, Álvaro Mateos, Juan M. Vaquerizas, Javier Santoyo, Joaquín Dopazo - Nucleic Acids Res , 2003
"... We present a web-based pipeline for microarray gene expression profile analysis, GEPAS, which stands for Gene Expression Profile Analysis Suite ..."
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We present a web-based pipeline for microarray gene expression profile analysis, GEPAS, which stands for Gene Expression Profile Analysis Suite

An unsupervised fuzzy ensemble algorithmic scheme

by Roberto Avogadri, Giorgio Valentini, Roberto Avogadri, Giorgio Valentini
"... for gene expression data analysis ..."
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for gene expression data analysis
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