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Vahid Rezaei Tabar on Muck Rack

Vahid Rezaei Tabar

As seen in: Arthritis Research & Therapy
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Articles

An integrative Bayesian network approach to highlight key drivers in systemic lupus erythematosus

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By Kaveh Kavousi, Zahra salehi, Vahid Rezaei Tabar, Samaneh Maleknia
| Arthritis Research & Therapy Verified
Abstract Background A comprehensive intuition of the systemic lupus erythematosus (SLE), as a complex and multifactorial disease, is a biological challenge. Dealing with this challenge needs employing sophisticated bioinformatics algorithms to discover the unknown aspects. This study aimed to underscore key molecular characteristics of SLE pathogenesis, which may serve as effective targets for therapeutic intervention.
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Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach

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By Kaveh Kavousi, Masoud Arabfard, Mina Ohadi, Vahid Rezaei Tabar
| Biomed Central (BMC)
Abstract Background Machine learning can effectively nominate novel genes for various research purposes in the laboratory. On a genome-wide scale, we implemented multiple databases and algorithms to predict and prioritize the human aging genes (PPHAGE). Results We fused data from 11 databases, and used Naïve Bayes classifier and positive unlabeled learning (PUL) methods, NB, Spy, and Rocchio-SVM, to rank human genes in respect with their implication in aging.
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