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Artificial Intelligence Innovation (A2I) Lab - Harnessing the power of AI to translate research findings to the clinic

Harnessing the power of AI to translate research findings to the clinic
Categories: Software/Hardware, Education
Topics: artificial intelligence innovation (a2i) lab, bioinformatics, computational genetics, data mining, disease, epistasis, gene, gene-gene interaction, genetics, machine learning, systems biology

Semrush Rank: 6,289,058 Facebook ♡: 7
epistasis.org
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Reference in qPCR www.Gene-Quantification.info
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gene-quantification.net

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lifesciencessociety.org lifesciencessociety.org           
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The International Conference on Computational Systems Bioinformatics (CSB) is an annual conference organized by the non-profit Life Sciences Society (LSS) to facilitate the exchange of ideas and collaborations between computer scientists and biologists by presenting cutting-edge computational biology research findings. LSS's goal is to create and maintain a vital organization to enable life scientists to sustain a broad view of the current cutting-edge developments in life sciences research, education, and industry. The first conference was organized in 2002, and since then CSB has usually been held in August on the Stanford University campus.

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analysis using quantitative real-time PCR or RT-PCR (qPCR or
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csb2009a.org csb2009a.org           
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Сервис не оплачен
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home
The Cy0 is a new method in Real-time PCR analysis that does not require the assumption of equal efficiency between unknowns and standard curve.
The method is based on the fit of Richards' equation to real-time PCR data by nonlinear
regression in order to obtain the best fit estimators of reaction parameters. Subsequently,
these parameters were used to calculate the Cy0 value that minimizes the dependence of
its value on PCR kinetic. Our results
demonstrated that when PCR efficiency was slightly decreased, diluting
amplification mix quantity or adding a biological inhibitor such as IgG, the SCF, Ct
and Cp methods were markedly impaired while the Cy0 method gave significantly more
accurate and precise quantification results.

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Bioinformatics Unit, Vrije Unversiteit Amsterdam

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deutsche.nature.com

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Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of sequence-structure analysis, gene regulation, molecular pathways and networks, and diagnostic and prognostic indicators.

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