Genetic network identification using convex programming
نویسندگان
چکیده
منابع مشابه
Genetic network identification using convex programming.
Gene regulatory networks capture interactions between genes and other cell substances, resulting in various models for the fundamental biological process of transcription and translation. The expression levels of the genes are typically measured as mRNA concentration in micro-array experiments. In a so-called genetic perturbation experiment, small perturbations are applied to equilibrium states...
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implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
15 صفحه اولSystem identification using genetic programming
• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version ...
متن کاملSystem identification using genetic programming
• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version ...
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Automatic mineral identification using evolutionary computation technology is discussed. Thin sections of mineral samples are digitally photographed using a computercontrolled rotating polarizer stage on a petrographic microscope. A suite of image processing functions is applied to the images. Filtered image data for identified mineral grains is then selected for use as training data for a gene...
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ژورنال
عنوان ژورنال: IET Systems Biology
سال: 2009
ISSN: 1751-8849,1751-8857
DOI: 10.1049/iet-syb.2008.0130