Inferring Gene regulatory network based on Bayesian network - Ebrahimi, Ali
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Today the comprehension of gene regulatory networks and understanding the regulatory procedures in a cell in the gene level, is an important goal in computational biology. The modeling of gene networks can be used in many different areas such as the discovery of new drugs, reducing side effects of treatment methods, better recognition of genetic disorders, choosing candidates for gene treatment, comparison and scrutiny of gene expressions that have unknown operations and to obtain ideas regarding their operations, that's why researchers have made a lot of attempts to this thing.

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Produktbeschreibung
Today the comprehension of gene regulatory networks and understanding the regulatory procedures in a cell in the gene level, is an important goal in computational biology. The modeling of gene networks can be used in many different areas such as the discovery of new drugs, reducing side effects of treatment methods, better recognition of genetic disorders, choosing candidates for gene treatment, comparison and scrutiny of gene expressions that have unknown operations and to obtain ideas regarding their operations, that's why researchers have made a lot of attempts to this thing.
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Autorenporträt
Ali Ebrahimi is Msc in Mathematics from Shahid Beheshti University, He has received his degree in 2012 and interested in genetics and graphs theory.