Leila Mirsadeghi (@lmirsadeghi)
github

lmirsadeghi

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  • Global Rank 1,854,108 (Top 64 %)
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  • Registered almost 6 years ago
  • Location 🇮🇷 Iran
  • Country Total Rank 4,345

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EARN

This package proposes a fusion system. It can help to the analysis of Whole-Exome Sequencing (WES) data, files (.maf) and so on. It is used for identification of candidate driver genes associated with cancers based on mutations that occur in genes. For more detailed, it consists of four software tools and three learning machines. The software tools are MutsigCV, OncodriveCLIUST, OncodriveFM, and NetBox. They extract the features from the initial file. Also, the proposed ensemble machine involves three machines called SVM, ANN, and RF. They integrate features and predict driver genes. This package has been created in the Laboratory of Complex Biological Systems and Bioinformatics (CBB) in Department of Bioinformatics at University of Tehran, Tehran, Iran.
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