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Characterization of inflammatory pseudotumors in a large animal model of liver cancer
Animal Models and Experimental Medicine, EarlyView.CT images in arterial and portal venous phases of liver lesions in Oncopig. Abstract Background The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been
Erik N. K. Cressman +4 more
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Microarray Data Analysis Protocol
2021Microarrays are broadly used in the omic investigation and have several areas of applications in biology and medicine, providing a significant amount of data for a single experiment. Different kinds of microarrays are available, identifiable by characteristics such as the type of probes, the surface used as support, and the method used for the target ...
Agapito G, Arbitrio M
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Cold Spring Harbor Protocols, 2016
Because there is no widely used software for analyzing RNA-seq data that has a graphical user interface, this protocol provides an example of analyzing microarray data using Babelomics. This analysis entails performing quantile normalization and then detecting differentially expressed genes associated with the transgenesis of a human oncogene c-Myc in ...
Hung, Jui-Hung, Weng, Zhiping
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Because there is no widely used software for analyzing RNA-seq data that has a graphical user interface, this protocol provides an example of analyzing microarray data using Babelomics. This analysis entails performing quantile normalization and then detecting differentially expressed genes associated with the transgenesis of a human oncogene c-Myc in ...
Hung, Jui-Hung, Weng, Zhiping
openaire +3 more sources
Journal of Computational Biology, 2001
The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the relative abundance of mRNA in two different samples by probing a single DNA microarray simultaneously.
A B, Goryachev +2 more
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The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the relative abundance of mRNA in two different samples by probing a single DNA microarray simultaneously.
A B, Goryachev +2 more
openaire +2 more sources
Science, 2002
One of the underlying principles of scientific publication in peer-reviewed journals has been the requirement that the authors make available the data and materials necessary for a reader to reproduce the experiment or analysis and to determine whether the data support the authors' conclusions.
Catherine A, Ball +16 more
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One of the underlying principles of scientific publication in peer-reviewed journals has been the requirement that the authors make available the data and materials necessary for a reader to reproduce the experiment or analysis and to determine whether the data support the authors' conclusions.
Catherine A, Ball +16 more
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Machine Learning, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Long, Philip M. +1 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Long, Philip M. +1 more
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2010
Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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2021
The aim in microarray data analysis is to discover patterns of gene expression and to identify similar genes. Simply comparing new gene sequences to known DNA sequences often does not reveal the function of a new gene; thus, more sophisticated techniques are in order.
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The aim in microarray data analysis is to discover patterns of gene expression and to identify similar genes. Simply comparing new gene sequences to known DNA sequences often does not reveal the function of a new gene; thus, more sophisticated techniques are in order.
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Classification of Microarray Data
2019The automatic classification of DNA microarray data is one of the hot topics in the field of bioinformatics, since it is an effective tool for the diagnosis of diseases in patients. The aim of this chapter is to present the most relevant aspects related to the classification of microarrays.
Noelia, Sánchez-Maroño +2 more
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Ugeskrift for laeger, 2006
Microarrays might be used for future diagnostic and prognostic purposes. High-density oligonucleotide arrays are promising in this respect. The microarray data consist of intensity files, which are transformed into expression matrices by the application of several mathematical modifications.
Rehannah H A, Borup +3 more
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Microarrays might be used for future diagnostic and prognostic purposes. High-density oligonucleotide arrays are promising in this respect. The microarray data consist of intensity files, which are transformed into expression matrices by the application of several mathematical modifications.
Rehannah H A, Borup +3 more
openaire +3 more sources