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Analysis of Expression Data: An Overview [PDF]
Current Protocols in Bioinformatics, 2003 AbstractAfter providing a brief introduction to microarray chips and experimental details, this overview discusses analysis techniques. Data analysis from microarray experiments generally involves two parts: acquiring and normalizing the data, and interpreting it. This unit focuses mostly on the latter, as it is less technology‐specific.
Anoop Grewal +2 more
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Authentic facial expression analysis
Image and Vision Computing, 2004It is argued that for the computer to be able to interact with humans, it needs to havve the communication skills o humans. One of these skills is the ability to understand the emotional state of the person. The most expressive way humans display emotions is through facial expressions.
Sebe, Niculae +5 more
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(Differential) Co-Expression Analysis of Gene Expression: A Survey of Best Practices
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020Analysis of gene expression data is widely used in transcriptomic studies to understand functions of molecules inside a cell and interactions among molecules.
H. A. Chowdhury +2 more
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2016
Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the ...
Julio C. Bolívar +2 more
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Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the ...
Julio C. Bolívar +2 more
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NEC for Gene Expression Analysis
2006Aim of this work is to apply a novel comprehensive data mining machine learning tool to preprocess and to interpret gene expression data. Furthermore, some visualization facilities are provided. The data mining framework consists of two main parts: preprocessing and clustering-agglomerating phases.
AMATO R +11 more
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Pigment Cell Research, 2000
The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown.
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The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown.
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Serial Analysis of Gene Expression
2003Serial analysis of gene expression (SAGE™) is a patented, large-scale mRNA-profiling technology that produces comprehensive, quantitative, and reproducible gene expression profiles (originally described in refs. 1 and 2). Unlike the alternative technologies of differential display and subtractive hybridization, SAGE produces a full catalog of all ...
M. Ashraf El-Meanawy +5 more
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Sonological analysis of clarinet expressivity
1980Seven different performances of a fragment of W. A. Mozart's Concert for Clarinet (K622) were recorded. Each performance was inspired giving the player a sensorial type adjective in order to suggest various kinds of expressive intentions. Certain particularly significant sonological parameters were then measured.
CANAZZA TARGON, SERGIO +3 more
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Comparative gene-expression analysis
Trends in Biotechnology, 1999The study of differences in gene-expression patterns is one of the most promising approaches for understanding mechanisms of differentiation and development. In addition, the identification of disease-related target molecules opens new avenues for rational pharmaceutical intervention.
Bernhard J. Kirschbaum, Detlef H. Kozian
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