FGX (frequentist gene expression index) for Affymetrix arrays under non-normality assumption

2008-06-01

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FGX: a frequentist gene expression index for Affymetrix arrays
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We consider a new frequentist gene expression index for Affymetrix oligonucleotide DNA arrays, using a similar probe intensity model as suggested by Hein and others (2005), called the Bayesian gene expression index (BGX). According to this model, the perfect match and mismatch values are assumed to be correlated as a result of sharing a common gene expression signal. Rather than a Bayesian approach, we develop a maximum likelihood algorithm for estimating the underlying common signal. In this way, estimatio...
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FGX implementation in two case studies
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FGPA based cryptography computation platform and the basis conversion in composite finite fields
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In the study of this thesis work we focused on the hardware based cryptographic algorithms computation platform, especially for elliptic-curve and hyper-elliptic curve based protocols. We worked for making the hyperelliptic curve based Tate Pairing computation efficient specially for hardware implementations. To achieve this one needs to make the underlying finite field arithmetic implementations efficient. For this we study the finite fields of type $\mathbb{F}_q, q=p^{2pn}$ from the efficient implementati...
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Citation Formats
V. Purutçuoğlu Gazi, “FGX (frequentist gene expression index) for Affymetrix arrays under non-normality assumption,” 2008, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/79171.