Gene structure-based splice variant deconvolution using a microarry platform
نویسندگان
چکیده
منابع مشابه
Gene structure-based splice variant deconvolution using a microarry platform
MOTIVATION Alternative splicing allows a single gene to generate multiple mRNAs, which can be translated into functionally and structurally diverse proteins. One gene can have multiple variants coexisting at different concentrations. Estimating the relative abundance of each variant is important for the study of underlying biological function. Microarrays are standard tools that measure gene ex...
متن کاملSplice Variant Search with Gene Expression Data
Alternative splicing is the phenomena that the pre-mRNA transcript from DNA is processed into different mRNAs by spliced different types of introns. The organism can acquire proteins as many times as genes. Therefore to find such splicing variants is risen in the post genome era. We investigate a new method to detect splicing variants with the gene expression data by the oligonucleotide array t...
متن کاملBlind Image Deconvolution using a Space-variant Neural Network Approach
A space variant neural network based on an autoregressive moving average (ARMA) process is proposed for blind image deconvolution. An extended cost function motivated by human visual perception is developed to simultaneously identify the blur and restore the image degraded by space variant non-causal blur and additive white Gaussian noise (AWGN). Since the blur affects various regions of the im...
متن کاملDevelopment of Improved Microarry Gene Expression Indexes using the Probe-level Intensities
Several issues occur to analysis of oligonucleotide microarray data, such as MM as internal control for PM and cross-hybridization. An integrated procedure is proposed to address these problems: (1) log2 scale of PM is used for analysis to avoid bias caused by MM; (2) two-way ANOVA is employed to account for probe effect; and (3) one filter using probability of probe fold change beyond a thresh...
متن کاملSplice variant transcripts of the anterior gradient 2 gene as a marker of prostate cancer
Anterior gradient 2 (AGR2) is a gene predominantly expressed in mucus-secreting tissues or in endocrine cells. Its expression is drastically increased in tumors including prostate cancer. Here we investigated whether AGR2 transcript levels can be used as a biomarker to detect prostate cancer (PCa). Using a PCR-based approach, we could show that in addition to the wild-type (AGRwt long and short...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2003
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btg1044