نتایج جستجو برای: disease gene prediction
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Introduction: Alexander disease is a heterogenous group of diseases with various manifestations based on age of disease onset. This rare leukodystrophy syndrome with mutations in GFAP Gene could present with developmental delay and seizure in infantile form to ataxia and bulbar palsy in adulthood. However psychiatric symptoms are not well-defined and usually evaluate after disease diagnosis not...
Abstract Background RNA-seq data are increasingly used to derive prognostic signatures for cancer outcome prediction. A limitation of current predictors is their reliance on reference gene annotations, which amounts ignoring large numbers non-canonical RNAs produced in disease tissues. recently introduced kind transcriptome classifier operates entirely a reference-free manner, relying k-mers ex...
Pancreatic adenocarcinoma (PAAD) is one of the leading causes cancer-related deaths worldwide. Through data mining, an increasing number biomarkers have been identified to predict survival patients with PAAD. However, ability single gene patient still insufficient. This study aimed develop a novel risk signature for predicting mRNA expression profiling was performed large PAAD cohort (n = 177) ...
Single gene disorders with Mendelian inheritance patterns have contributed greatly to the identification of genes and pathways implicated in genetic disease. In these cases, molecular analysis predicts disease status relatively directly. However, there are many abnormalities which show familial recurrence and have a clear genetic component, but do not show regular Mendelian segregation patterns...
To help the biomedical scientist pre-confirm the disease-related genes, we considered these gene as a whole research set and analyzed the topological features of their interaction network. Two strategies had been proposed to construct the disease-related gene network from the OMIM database. Using these two constructed sets, we trained two support vector machine prediction models, the accuracy o...
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