MIXGENE.FELK.CVUT.CZ

miXGENE

Integrated analysis of mRNA, miRNA and epigenetic data. Development of predictive models (support vector machines, decision trees, nearest neighbour search) that best distinguish among user-supplied sample classes. Detection of markers (biological modules based on prior knowledge such as miRNA regulations, pathways or gene ontology terms). Automated utilization of genomic knowledge during model creation and generation of biomarkers. Automated integration of heterogeneous measurement platforms.

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miXGENE | mixgene.felk.cvut.cz Reviews

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Integrated analysis of mRNA, miRNA and epigenetic data. Development of predictive models (support vector machines, decision trees, nearest neighbour search) that best distinguish among user-supplied sample classes. Detection of markers (biological modules based on prior knowledge such as miRNA regulations, pathways or gene ontology terms). Automated utilization of genomic knowledge during model creation and generation of biomarkers. Automated integration of heterogeneous measurement platforms.

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miXGENE | mixgene.felk.cvut.cz Reviews

https://mixgene.felk.cvut.cz

Integrated analysis of mRNA, miRNA and epigenetic data. Development of predictive models (support vector machines, decision trees, nearest neighbour search) that best distinguish among user-supplied sample classes. Detection of markers (biological modules based on prior knowledge such as miRNA regulations, pathways or gene ontology terms). Automated utilization of genomic knowledge during model creation and generation of biomarkers. Automated integration of heterogeneous measurement platforms.

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mixgene.felk.cvut.cz

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miXGENE

http://mixgene.felk.cvut.cz/articles/type=t

At Jan. 31, 2016, 10:29 pm. At Jan. 31, 2016, 10:31 pm. At Jan. 31, 2016, 10:32 pm. At Jan. 31, 2016, 10:33 pm. This software was created by IDA group. At Czech Technical University in Prague. The source code of this project is available on GitHub.

2

miXGENE

http://mixgene.felk.cvut.cz/articles/type=cs

Knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome. This study evaluates our novel feature extraction and data integration method for the accurate and interpretable classification of biological samples based on their mRNA and miRNA expression profiles. At April 16, 2014, 2:20 pm. Germ cell tumor study. At May 19, 2014, 9:10 am. Identification of miRNA regulatory co-modules from ovarian cancer data. At Oct. 3, 2014, 9:28 am. This study d...

3

miXGENE

http://mixgene.felk.cvut.cz/about

This research and development is supported by the grant NT14539. Of the Ministry of Health of the Czech Republic. 2005-2013 Django Software Foundation Django Software Foundation. 2007 2011 Ask Solem. This software was created by IDA group. At Czech Technical University in Prague. The source code of this project is available on GitHub.

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miXGENE

http://mixgene.felk.cvut.cz/auth/create_user

This software was created by IDA group. At Czech Technical University in Prague. The source code of this project is available on GitHub.

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mixgene.felk.cvut.cz

miXGENE

Integrated analysis of mRNA, miRNA and epigenetic data. Development of predictive models (support vector machines, decision trees, nearest neighbour search) that best distinguish among user-supplied sample classes. Detection of markers (biological modules based on prior knowledge such as miRNA regulations, pathways or gene ontology terms). Automated utilization of genomic knowledge during model creation and generation of biomarkers. Automated integration of heterogeneous measurement platforms.

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